diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml
index 4fa8562..72bf671 100644
--- a/.github/workflows/pytest.yml
+++ b/.github/workflows/pytest.yml
@@ -18,7 +18,7 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v5
         with:
-          python-version: "3.10"
+          python-version: "3.12"
 
       - name: Install Poetry
         run: |
diff --git a/justice/util/EMA_model_wrapper.py b/justice/util/EMA_model_wrapper.py
index 40e851b..47ca15a 100644
--- a/justice/util/EMA_model_wrapper.py
+++ b/justice/util/EMA_model_wrapper.py
@@ -63,11 +63,11 @@ def model_wrapper_emodps(**kwargs):
     weights = np.zeros(weights_shape)
 
     for i in range(centers_shape[0]):
-        centers[i] = kwargs.pop(f"center {i}")
-        radii[i] = kwargs.pop(f"radii {i}")
+        centers[i] = kwargs.pop(f"center_{i}")
+        radii[i] = kwargs.pop(f"radii_{i}")
 
     for i in range(weights_shape[0]):
-        weights[i] = kwargs.pop(f"weights {i}")
+        weights[i] = kwargs.pop(f"weights_{i}")
 
     # Populating the decision variables
     centers_flat = centers.flatten()
@@ -183,10 +183,10 @@ def _compute_inverse_range(min_value: float, max_value: float) -> float:
 
 
 def _extract_vector(kwargs_dict, prefix, size, macro_idx):
-    """Pull a flat vector of length `size` from kwargs named `{prefix} {macro_idx} {i}`."""
+    """Pull a flat vector of length `size` from kwargs named `{prefix}_{macro_idx}_{i}`."""
     vector = np.empty(size, dtype=float)
     for i in range(size):
-        vector[i] = kwargs_dict.pop(f"{prefix} {macro_idx} {i}")
+        vector[i] = kwargs_dict.pop(f"{prefix}_{macro_idx}_{i}")
     return vector
 
 
diff --git a/justice/util/pareto_nash_run.py b/justice/util/pareto_nash_run.py
index 1f3585e..293bce7 100644
--- a/justice/util/pareto_nash_run.py
+++ b/justice/util/pareto_nash_run.py
@@ -61,13 +61,13 @@ def build_policy_bank_from_5row_csv(
         row = df.iloc[a]
         for i in range(n_agents):
             centers = np.array(
-                [row[f"center {i} {j}"] for j in range(centers_len)], dtype=np.float64
+                [row[f"center_{i}_{j}"] for j in range(centers_len)], dtype=np.float64
             )
             radii = np.array(
-                [row[f"radii {i} {j}"] for j in range(radii_len)], dtype=np.float64
+                [row[f"radii_{i}_{j}"] for j in range(radii_len)], dtype=np.float64
             )
             weights = np.array(
-                [row[f"weights {i} {j}"] for j in range(weights_len)], dtype=np.float64
+                [row[f"weights_{i}_{j}"] for j in range(weights_len)], dtype=np.float64
             )
             policy_bank[i, a, :] = np.concatenate([centers, radii, weights])
 
diff --git a/poetry.lock b/poetry.lock
index 448ae60..b371451 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,13 +1,13 @@
-# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand.
 
 [[package]]
 name = "about-time"
 version = "4.2.1"
 description = "Easily measure timing and throughput of code blocks, with beautiful human friendly representations."
-optional = false
+optional = true
 python-versions = ">=3.7, <4"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "about-time-4.2.1.tar.gz", hash = "sha256:6a538862d33ce67d997429d14998310e1dbfda6cb7d9bbfbf799c4709847fece"},
     {file = "about_time-4.2.1-py3-none-any.whl", hash = "sha256:8bbf4c75fe13cbd3d72f49a03b02c5c7dca32169b6d49117c257e7eb3eaee341"},
@@ -17,10 +17,10 @@ files = [
 name = "absl-py"
 version = "2.4.0"
 description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
-optional = false
+optional = true
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "absl_py-2.4.0-py3-none-any.whl", hash = "sha256:88476fd881ca8aab94ffa78b7b6c632a782ab3ba1cd19c9bd423abc4fb4cd28d"},
     {file = "absl_py-2.4.0.tar.gz", hash = "sha256:8c6af82722b35cf71e0f4d1d47dcaebfff286e27110a99fc359349b247dfb5d4"},
@@ -30,10 +30,10 @@ files = [
 name = "alive-progress"
 version = "3.3.0"
 description = "A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!"
-optional = false
+optional = true
 python-versions = "<4,>=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "alive-progress-3.3.0.tar.gz", hash = "sha256:457dd2428b48dacd49854022a46448d236a48f1b7277874071c39395307e830c"},
     {file = "alive_progress-3.3.0-py3-none-any.whl", hash = "sha256:63dd33bb94cde15ad9e5b666dbba8fedf71b72a4935d6fb9a92931e69402c9ff"},
@@ -50,7 +50,6 @@ description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -63,7 +62,7 @@ description = "Disable App Nap on macOS >= 10.9"
 optional = false
 python-versions = ">=3.6"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_system == \"Darwin\""
+markers = "platform_system == \"Darwin\""
 files = [
     {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"},
     {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"},
@@ -76,7 +75,6 @@ description = "Annotate AST trees with source code positions"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "asttokens-3.0.1-py3-none-any.whl", hash = "sha256:15a3ebc0f43c2d0a50eeafea25e19046c68398e487b9f1f5b517f7c0f40f976a"},
     {file = "asttokens-3.0.1.tar.gz", hash = "sha256:71a4ee5de0bde6a31d64f6b13f2293ac190344478f081c3d1bccfcf5eacb0cb7"},
@@ -90,10 +88,10 @@ test = ["astroid (>=2,<5)", "pytest (<9.0)", "pytest-cov", "pytest-xdist"]
 name = "autograd"
 version = "1.8.0"
 description = "Efficiently computes derivatives of NumPy code."
-optional = false
+optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "autograd-1.8.0-py3-none-any.whl", hash = "sha256:4ab9084294f814cf56c280adbe19612546a35574d67c574b04933c7d2ecb7d78"},
     {file = "autograd-1.8.0.tar.gz", hash = "sha256:107374ded5b09fc8643ac925348c0369e7b0e73bbed9565ffd61b8fd04425683"},
@@ -110,10 +108,10 @@ test = ["pytest", "pytest-cov", "pytest-xdist"]
 name = "box2d-py"
 version = "2.3.5"
 description = "Python Box2D"
-optional = false
+optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "box2d-py-2.3.5.tar.gz", hash = "sha256:b37dc38844bcd7def48a97111d2b082e4f81cca3cece7460feb3eacda0da2207"},
     {file = "box2d_py-2.3.5-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:287aa54005c0644b47bf7ad72966e4068d66e56bcf8458f5b4a653ffe42a2618"},
@@ -129,7 +127,6 @@ description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "certifi-2026.2.25-py3-none-any.whl", hash = "sha256:027692e4402ad994f1c42e52a4997a9763c646b73e4096e4d5d6db8af1d6f0fa"},
     {file = "certifi-2026.2.25.tar.gz", hash = "sha256:e887ab5cee78ea814d3472169153c2d12cd43b14bd03329a39a9c6e2e80bfba7"},
@@ -142,7 +139,7 @@ description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "implementation_name == \"pypy\" or extra == \"rl\""
 files = [
     {file = "cffi-2.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44"},
     {file = "cffi-2.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49"},
@@ -240,7 +237,6 @@ description = "The Real First Universal Charset Detector. Open, modern and activ
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "charset_normalizer-3.4.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2e1d8ca8611099001949d1cdfaefc510cf0f212484fe7c565f735b68c78c3c95"},
     {file = "charset_normalizer-3.4.6-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e25369dc110d58ddf29b949377a93e0716d72a24f62bad72b2b39f155949c1fd"},
@@ -377,10 +373,10 @@ files = [
 name = "clarabel"
 version = "0.11.1"
 description = "Clarabel Conic Interior Point Solver for Rust / Python"
-optional = false
+optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "clarabel-0.11.1-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:c39160e4222040f051f2a0598691c4f9126b4d17f5b9e7678f76c71d611e12d8"},
     {file = "clarabel-0.11.1-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:8963687ee250d27310d139eea5a6816f9c3ae31f33691b56579ca4f0f0b64b63"},
@@ -402,7 +398,6 @@ description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6"},
     {file = "click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a"},
@@ -415,10 +410,10 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 name = "cloudpickle"
 version = "3.1.2"
 description = "Pickler class to extend the standard pickle.Pickler functionality"
-optional = false
+optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "cloudpickle-3.1.2-py3-none-any.whl", hash = "sha256:9acb47f6afd73f60dc1df93bb801b472f05ff42fa6c84167d25cb206be1fbf4a"},
     {file = "cloudpickle-3.1.2.tar.gz", hash = "sha256:7fda9eb655c9c230dab534f1983763de5835249750e85fbcef43aaa30a9a2414"},
@@ -428,10 +423,10 @@ files = [
 name = "cma"
 version = "4.4.4"
 description = "CMA-ES, Covariance Matrix Adaptation Evolution Strategy for non-linear numerical optimization in Python"
-optional = false
+optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "cma-4.4.4-py3-none-any.whl", hash = "sha256:edb6d02eb2aac2d54650f16a8f0c70711ff17445957de7c9de92ff7fd4b7ef38"},
     {file = "cma-4.4.4.tar.gz", hash = "sha256:632bd654b5dce04c0eaa3166679d3e4773ce7a79eab7934e7f363c341b9a8170"},
@@ -452,7 +447,7 @@ description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and (platform_system == \"Windows\" or sys_platform == \"win32\")"
+markers = "platform_system == \"Windows\" or sys_platform == \"win32\""
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@@ -465,7 +460,6 @@ description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "comm-0.2.3-py3-none-any.whl", hash = "sha256:c615d91d75f7f04f095b30d1c1711babd43bdc6419c1be9886a85f2f4e489417"},
     {file = "comm-0.2.3.tar.gz", hash = "sha256:2dc8048c10962d55d7ad693be1e7045d891b7ce8d999c97963a5e3e99c055971"},
@@ -481,7 +475,6 @@ description = "Python library for calculating contours of 2D quadrilateral grids
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba38e3f9f330af820c4b27ceb4b9c7feee5fe0493ea53a8720f4792667465934"},
     {file = "contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dc41ba0714aa2968d1f8674ec97504a8f7e334f48eeacebcaa6256213acb0989"},
@@ -556,10 +549,10 @@ test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist"
 name = "cvxpy"
 version = "1.7.5"
 description = "A domain-specific language for modeling convex optimization problems in Python."
-optional = false
+optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "cvxpy-1.7.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a9938ea90898da51b1129ba9c185cd774d83fdbea3eb0099cd86d47e37ed5297"},
     {file = "cvxpy-1.7.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f0a4818665c3231a5a35001c41f691471b35e2231295f85ddf6044f3982f2f88"},
@@ -627,7 +620,6 @@ description = "Composable style cycles"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
     {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
@@ -644,7 +636,6 @@ description = "Distributed Evolutionary Algorithms in Python"
 optional = false
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "deap-1.4.3-cp310-cp310-macosx_13_0_x86_64.whl", hash = "sha256:05be2be3a3f2922b83143c755b58e64d1795be7e35f962ad925e61f1eb498f15"},
     {file = "deap-1.4.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3b8435f8e4400da6a69fecf4ffc93ac38d5a0439982cf7132168a052ab93800e"},
@@ -679,7 +670,6 @@ description = "An implementation of the Debug Adapter Protocol for Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "debugpy-1.8.20-cp310-cp310-macosx_15_0_x86_64.whl", hash = "sha256:157e96ffb7f80b3ad36d808646198c90acb46fdcfd8bb1999838f0b6f2b59c64"},
     {file = "debugpy-1.8.20-cp310-cp310-manylinux_2_34_x86_64.whl", hash = "sha256:c1178ae571aff42e61801a38b007af504ec8e05fde1c5c12e5a7efef21009642"},
@@ -720,7 +710,6 @@ description = "Decorators for Humans"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "decorator-4.4.2-py2.py3-none-any.whl", hash = "sha256:41fa54c2a0cc4ba648be4fd43cff00aedf5b9465c9bf18d64325bc225f08f760"},
     {file = "decorator-4.4.2.tar.gz", hash = "sha256:e3a62f0520172440ca0dcc823749319382e377f37f140a0b99ef45fecb84bfe7"},
@@ -730,10 +719,10 @@ files = [
 name = "deprecated"
 version = "1.3.1"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
-optional = false
+optional = true
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "deprecated-1.3.1-py2.py3-none-any.whl", hash = "sha256:597bfef186b6f60181535a29fbe44865ce137a5079f295b479886c82729d5f3f"},
     {file = "deprecated-1.3.1.tar.gz", hash = "sha256:b1b50e0ff0c1fddaa5708a2c6b0a6588bb09b892825ab2b214ac9ea9d92a5223"},
@@ -752,7 +741,6 @@ description = "serialize all of Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "dill-0.4.1-py3-none-any.whl", hash = "sha256:1e1ce33e978ae97fcfcff5638477032b801c46c7c65cf717f95fbc2248f79a9d"},
     {file = "dill-0.4.1.tar.gz", hash = "sha256:423092df4182177d4d8ba8290c8a5b640c66ab35ec7da59ccfa00f6fa3eea5fa"},
@@ -769,7 +757,6 @@ description = "Parse Python docstrings in reST, Google and Numpydoc format"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "docstring_parser-0.17.0-py3-none-any.whl", hash = "sha256:cf2569abd23dce8099b300f9b4fa8191e9582dda731fd533daf54c4551658708"},
     {file = "docstring_parser-0.17.0.tar.gz", hash = "sha256:583de4a309722b3315439bb31d64ba3eebada841f2e2cee23b99df001434c912"},
@@ -782,22 +769,21 @@ test = ["pytest"]
 
 [[package]]
 name = "ema-workbench"
-version = "2.5.3"
+version = "3.0.0"
 description = "Exploratory modelling in Python"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.12"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
-    {file = "ema_workbench-2.5.3-py3-none-any.whl", hash = "sha256:d616621d15db74ef773fe8a8b7d2ee3b83d6c8e190f51f60e3a2d612e2f84634"},
-    {file = "ema_workbench-2.5.3.tar.gz", hash = "sha256:e5ce847c3631a421cd1d3052bf6862e0ca3a0d58d2745de1ec4fb7c995abff80"},
+    {file = "ema_workbench-3.0.0-py3-none-any.whl", hash = "sha256:fd6b5badda5dfc56c52d57fbde10fcd782d3e2a870e0b34cda0d34930500d692"},
+    {file = "ema_workbench-3.0.0.tar.gz", hash = "sha256:3b2429ddbd9fdaeec95940a92326f58cc3cb21aa32e37042ef83718455475547"},
 ]
 
 [package.dependencies]
 matplotlib = "*"
 numpy = "*"
 pandas = "*"
-platypus-opt = "*"
+platypus-opt = ">=1.3.0"
 salib = ">=1.4.6"
 scikit-learn = "*"
 seaborn = "*"
@@ -807,7 +793,7 @@ tqdm = "*"
 [package.extras]
 all = ["ema_workbench[cov,dev,docs,graph,jupyter,parallel]"]
 cov = ["coverage", "coveralls", "pytest-cov"]
-dev = ["ipyparallel", "jupyter_client", "pytest", "pytest-mock"]
+dev = ["ipyparallel", "jupyter_client", "pytest", "pytest-mock", "ruff"]
 docs = ["myst", "myst-parser", "nbsphinx", "pyscaffold", "readthedocs-sphinx-search", "sphinx", "sphinx-rtd-theme"]
 graph = ["altair", "graphviz", "pydot"]
 jupyter = ["ipykernel", "ipython", "jupyter", "jupyter_client"]
@@ -817,25 +803,6 @@ pysd = ["pysd"]
 recommended = ["ema_workbench[dev,graph,jupyter]"]
 simio = ["pythonnet"]
 
-[[package]]
-name = "exceptiongroup"
-version = "1.3.1"
-description = "Backport of PEP 654 (exception groups)"
-optional = false
-python-versions = ">=3.7"
-groups = ["main"]
-markers = "python_version == \"3.10\" and (sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\")"
-files = [
-    {file = "exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598"},
-    {file = "exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219"},
-]
-
-[package.dependencies]
-typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.13\""}
-
-[package.extras]
-test = ["pytest (>=6)"]
-
 [[package]]
 name = "executing"
 version = "2.2.1"
@@ -843,7 +810,6 @@ description = "Get the currently executing AST node of a frame, and other inform
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "executing-2.2.1-py2.py3-none-any.whl", hash = "sha256:760643d3452b4d777d295bb167ccc74c64a81df23fb5e08eff250c425a4b2017"},
     {file = "executing-2.2.1.tar.gz", hash = "sha256:3632cc370565f6648cc328b32435bd120a1e4ebb20c77e3fdde9a13cd1e533c4"},
@@ -859,7 +825,6 @@ description = "Finite-amplitude Impulse Response (FaIR) simple climate model"
 optional = false
 python-versions = ">=3.8, <4"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "fair-2.1.3-py3-none-any.whl", hash = "sha256:1ae7699ba76874a33b11934eb4deb769112e7b7d3b02b17a7b9fbb4631c15c38"},
     {file = "fair-2.1.3.tar.gz", hash = "sha256:16060fcd79d9abfb202054c320f3faababf4d46e633390d16c95b2a4055d7e0d"},
@@ -885,10 +850,10 @@ tests = ["codecov", "nbmake", "netCDF4", "pytest", "pytest-console-scripts", "py
 name = "farama-notifications"
 version = "0.0.4"
 description = "Notifications for all Farama Foundation maintained libraries."
-optional = false
+optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "Farama-Notifications-0.0.4.tar.gz", hash = "sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18"},
     {file = "Farama_Notifications-0.0.4-py3-none-any.whl", hash = "sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae"},
@@ -898,10 +863,10 @@ files = [
 name = "filelock"
 version = "3.25.2"
 description = "A platform independent file lock."
-optional = false
+optional = true
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "filelock-3.25.2-py3-none-any.whl", hash = "sha256:ca8afb0da15f229774c9ad1b455ed96e85a81373065fb10446672f64444ddf70"},
     {file = "filelock-3.25.2.tar.gz", hash = "sha256:b64ece2b38f4ca29dd3e810287aa8c48182bbecd1ae6e9ae126c9b35f1382694"},
@@ -911,10 +876,10 @@ files = [
 name = "fire"
 version = "0.7.1"
 description = "A library for automatically generating command line interfaces."
-optional = false
+optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "fire-0.7.1-py3-none-any.whl", hash = "sha256:e43fd8a5033a9001e7e2973bab96070694b9f12f2e0ecf96d4683971b5ab1882"},
     {file = "fire-0.7.1.tar.gz", hash = "sha256:3b208f05c736de98fb343310d090dcc4d8c78b2a89ea4f32b837c586270a9cbf"},
@@ -933,7 +898,6 @@ description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "fonttools-4.62.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ad5cca75776cd453b1b035b530e943334957ae152a36a88a320e779d61fc980c"},
     {file = "fonttools-4.62.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0b3ae47e8636156a9accff64c02c0924cbebad62854c4a6dbdc110cd5b4b341a"},
@@ -1004,10 +968,10 @@ woff = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "bro
 name = "fsspec"
 version = "2026.2.0"
 description = "File-system specification"
-optional = false
+optional = true
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "fsspec-2026.2.0-py3-none-any.whl", hash = "sha256:98de475b5cb3bd66bedd5c4679e87b4fdfe1a3bf4d707b151b3c07e58c9a2437"},
     {file = "fsspec-2026.2.0.tar.gz", hash = "sha256:6544e34b16869f5aacd5b90bdf1a71acb37792ea3ddf6125ee69a22a53fb8bff"},
@@ -1048,7 +1012,6 @@ description = "Git Object Database"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "gitdb-4.0.12-py3-none-any.whl", hash = "sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf"},
     {file = "gitdb-4.0.12.tar.gz", hash = "sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571"},
@@ -1064,7 +1027,6 @@ description = "GitPython is a Python library used to interact with Git repositor
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "gitpython-3.1.46-py3-none-any.whl", hash = "sha256:79812ed143d9d25b6d176a10bb511de0f9c67b1fa641d82097b0ab90398a2058"},
     {file = "gitpython-3.1.46.tar.gz", hash = "sha256:400124c7d0ef4ea03f7310ac2fbf7151e09ff97f2a3288d64a440c584a29c37f"},
@@ -1081,10 +1043,10 @@ test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock ; python_version < \"3.
 name = "graphemeu"
 version = "0.7.2"
 description = "Unicode grapheme helpers"
-optional = false
+optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "graphemeu-0.7.2-py3-none-any.whl", hash = "sha256:1444520f6899fd30114fc2a39f297d86d10fa0f23bf7579f772f8bc7efaa2542"},
     {file = "graphemeu-0.7.2.tar.gz", hash = "sha256:42bbe373d7c146160f286cd5f76b1a8ad29172d7333ce10705c5cc282462a4f8"},
@@ -1098,10 +1060,10 @@ docs = ["sphinx", "sphinx-autobuild"]
 name = "grpcio"
 version = "1.78.0"
 description = "HTTP/2-based RPC framework"
-optional = false
+optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "grpcio-1.78.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:7cc47943d524ee0096f973e1081cb8f4f17a4615f2116882a5f1416e4cfe92b5"},
     {file = "grpcio-1.78.0-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:c3f293fdc675ccba4db5a561048cca627b5e7bd1c8a6973ffedabe7d116e22e2"},
@@ -1176,10 +1138,10 @@ protobuf = ["grpcio-tools (>=1.78.0)"]
 name = "gymnasium"
 version = "0.28.1"
 description = "A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)."
-optional = false
+optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "gymnasium-0.28.1-py3-none-any.whl", hash = "sha256:7bc9a5bce1022f997d1dbc152fc91d1ac977bad9cc7794cdc25437010867cabf"},
     {file = "gymnasium-0.28.1.tar.gz", hash = "sha256:4c2c745808792c8f45c6e88ad0a5504774394e0c126f6e3db555e720d3da6f24"},
@@ -1212,7 +1174,6 @@ description = "Read and write HDF5 files from Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "h5py-3.13.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5540daee2b236d9569c950b417f13fd112d51d78b4c43012de05774908dff3f5"},
     {file = "h5py-3.13.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:10894c55d46df502d82a7a4ed38f9c3fdbcb93efb42e25d275193e093071fade"},
@@ -1252,7 +1213,6 @@ description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea"},
     {file = "idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902"},
@@ -1265,10 +1225,10 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2
 name = "imageio"
 version = "2.37.3"
 description = "Read and write images and video across all major formats. Supports scientific and volumetric data."
-optional = false
+optional = true
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "imageio-2.37.3-py3-none-any.whl", hash = "sha256:46f5bb8522cd421c0f5ae104d8268f569d856b29eb1a13b92829d1970f32c9f0"},
     {file = "imageio-2.37.3.tar.gz", hash = "sha256:bbb37efbfc4c400fcd534b367b91fcd66d5da639aaa138034431a1c5e0a41451"},
@@ -1300,10 +1260,10 @@ tifffile = ["tifffile"]
 name = "imageio-ffmpeg"
 version = "0.6.0"
 description = "FFMPEG wrapper for Python"
-optional = false
+optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "imageio_ffmpeg-0.6.0-py3-none-macosx_10_9_intel.macosx_10_9_x86_64.whl", hash = "sha256:9d2baaf867088508d4a3458e61eeb30e945c4ad8016025545f66c4b5aaef0a61"},
     {file = "imageio_ffmpeg-0.6.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:b1ae3173414b5fc5f538a726c4e48ea97edc0d2cdc11f103afee655c463fa742"},
@@ -1321,7 +1281,6 @@ description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12"},
     {file = "iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730"},
@@ -1334,7 +1293,6 @@ description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "ipykernel-7.2.0-py3-none-any.whl", hash = "sha256:3bbd4420d2b3cc105cbdf3756bfc04500b1e52f090a90716851f3916c62e1661"},
     {file = "ipykernel-7.2.0.tar.gz", hash = "sha256:18ed160b6dee2cbb16e5f3575858bc19d8f1fe6046a9a680c708494ce31d909e"},
@@ -1369,7 +1327,6 @@ description = "Interactive Parallel Computing with IPython"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "ipyparallel-9.1.0-py3-none-any.whl", hash = "sha256:dff90d758b6f999e5803306cd1900e15029655b475d780989d8b2bf338730213"},
     {file = "ipyparallel-9.1.0.tar.gz", hash = "sha256:ecc81a1bfd2681eb571e361839d5defcbeec583ae3ee0503bc83b066106b88cd"},
@@ -1395,46 +1352,6 @@ retroextension = ["jupyter-server", "retrolab"]
 serverextension = ["jupyter-server"]
 test = ["ipython[test]", "pytest", "pytest-asyncio", "pytest-cov", "testpath"]
 
-[[package]]
-name = "ipython"
-version = "8.38.0"
-description = "IPython: Productive Interactive Computing"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version == \"3.10\" and (sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\")"
-files = [
-    {file = "ipython-8.38.0-py3-none-any.whl", hash = "sha256:750162629d800ac65bb3b543a14e7a74b0e88063eac9b92124d4b2aa3f6d8e86"},
-    {file = "ipython-8.38.0.tar.gz", hash = "sha256:9cfea8c903ce0867cc2f23199ed8545eb741f3a69420bfcf3743ad1cec856d39"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-decorator = "*"
-exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
-jedi = ">=0.16"
-matplotlib-inline = "*"
-pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
-prompt_toolkit = ">=3.0.41,<3.1.0"
-pygments = ">=2.4.0"
-stack_data = "*"
-traitlets = ">=5.13.0"
-typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
-
-[package.extras]
-all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"]
-black = ["black"]
-doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli ; python_version < \"3.11\"", "typing_extensions"]
-kernel = ["ipykernel"]
-matplotlib = ["matplotlib"]
-nbconvert = ["nbconvert"]
-nbformat = ["nbformat"]
-notebook = ["ipywidgets", "notebook"]
-parallel = ["ipyparallel"]
-qtconsole = ["qtconsole"]
-test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
-test-extra = ["curio", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
-
 [[package]]
 name = "ipython"
 version = "9.10.0"
@@ -1442,7 +1359,6 @@ description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.11"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version >= \"3.11\""
 files = [
     {file = "ipython-9.10.0-py3-none-any.whl", hash = "sha256:c6ab68cc23bba8c7e18e9b932797014cc61ea7fd6f19de180ab9ba73e65ee58d"},
     {file = "ipython-9.10.0.tar.gz", hash = "sha256:cd9e656be97618a0676d058134cd44e6dc7012c0e5cb36a9ce96a8c904adaf77"},
@@ -1459,7 +1375,6 @@ prompt_toolkit = ">=3.0.41,<3.1.0"
 pygments = ">=2.11.0"
 stack_data = ">=0.6.0"
 traitlets = ">=5.13.0"
-typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
 
 [package.extras]
 all = ["argcomplete (>=3.0)", "ipython[doc,matplotlib,terminal,test,test-extra]"]
@@ -1476,7 +1391,6 @@ description = "Defines a variety of Pygments lexers for highlighting IPython cod
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version >= \"3.11\""
 files = [
     {file = "ipython_pygments_lexers-1.1.1-py3-none-any.whl", hash = "sha256:a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c"},
     {file = "ipython_pygments_lexers-1.1.1.tar.gz", hash = "sha256:09c0138009e56b6854f9535736f4171d855c8c08a563a0dcd8022f78355c7e81"},
@@ -1489,10 +1403,10 @@ pygments = "*"
 name = "jax-jumpy"
 version = "1.0.0"
 description = "Common backend for Jax or Numpy."
-optional = false
+optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "jax-jumpy-1.0.0.tar.gz", hash = "sha256:195fb955cc4c2b7f0b1453e3cb1fb1c414a51a407ffac7a51e69a73cb30d59ad"},
     {file = "jax_jumpy-1.0.0-py3-none-any.whl", hash = "sha256:ab7e01454bba462de3c4d098e3e585c302a8f06bc36d9182ab4e7e4aa7067c5e"},
@@ -1512,7 +1426,6 @@ description = "An autocompletion tool for Python that can be used for text edito
 optional = false
 python-versions = ">=3.6"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9"},
     {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"},
@@ -1530,10 +1443,10 @@ testing = ["Django", "attrs", "colorama", "docopt", "pytest (<9.0.0)"]
 name = "jinja2"
 version = "3.1.6"
 description = "A very fast and expressive template engine."
-optional = false
+optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"},
     {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"},
@@ -1552,7 +1465,6 @@ description = "Lightweight pipelining with Python functions"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "joblib-1.5.3-py3-none-any.whl", hash = "sha256:5fc3c5039fc5ca8c0276333a188bbd59d6b7ab37fe6632daa76bc7f9ec18e713"},
     {file = "joblib-1.5.3.tar.gz", hash = "sha256:8561a3269e6801106863fd0d6d84bb737be9e7631e33aaed3fb9ce5953688da3"},
@@ -1565,7 +1477,6 @@ description = "Jupyter protocol implementation and client libraries"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "jupyter_client-8.8.0-py3-none-any.whl", hash = "sha256:f93a5b99c5e23a507b773d3a1136bd6e16c67883ccdbd9a829b0bbdb98cd7d7a"},
     {file = "jupyter_client-8.8.0.tar.gz", hash = "sha256:d556811419a4f2d96c869af34e854e3f059b7cc2d6d01a9cd9c85c267691be3e"},
@@ -1590,7 +1501,6 @@ description = "Jupyter core package. A base package on which Jupyter projects re
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "jupyter_core-5.9.1-py3-none-any.whl", hash = "sha256:ebf87fdc6073d142e114c72c9e29a9d7ca03fad818c5d300ce2adc1fb0743407"},
     {file = "jupyter_core-5.9.1.tar.gz", hash = "sha256:4d09aaff303b9566c3ce657f580bd089ff5c91f5f89cf7d8846c3cdf465b5508"},
@@ -1611,7 +1521,6 @@ description = "A fast implementation of the Cassowary constraint solver"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "kiwisolver-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:32cc0a5365239a6ea0c6ed461e8838d053b57e397443c0ca894dcc8e388d4374"},
     {file = "kiwisolver-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:cc0b66c1eec9021353a4b4483afb12dfd50e3669ffbb9152d6842eb34c7e29fd"},
@@ -1736,10 +1645,10 @@ files = [
 name = "markdown"
 version = "3.10.2"
 description = "Python implementation of John Gruber's Markdown."
-optional = false
+optional = true
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "markdown-3.10.2-py3-none-any.whl", hash = "sha256:e91464b71ae3ee7afd3017d9f358ef0baf158fd9a298db92f1d4761133824c36"},
     {file = "markdown-3.10.2.tar.gz", hash = "sha256:994d51325d25ad8aa7ce4ebaec003febcce822c3f8c911e3b17c52f7f589f950"},
@@ -1753,10 +1662,10 @@ testing = ["coverage", "pyyaml"]
 name = "markupsafe"
 version = "3.0.3"
 description = "Safely add untrusted strings to HTML/XML markup."
-optional = false
+optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "markupsafe-3.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559"},
     {file = "markupsafe-3.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419"},
@@ -1856,7 +1765,6 @@ description = "Python plotting package"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "matplotlib-3.10.8-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:00270d217d6b20d14b584c521f810d60c5c78406dc289859776550df837dcda7"},
     {file = "matplotlib-3.10.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:37b3c1cc42aa184b3f738cfa18c1c1d72fd496d85467a6cf7b807936d39aa656"},
@@ -1936,7 +1844,6 @@ description = "Inline Matplotlib backend for Jupyter"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "matplotlib_inline-0.2.1-py3-none-any.whl", hash = "sha256:d56ce5156ba6085e00a9d54fead6ed29a9c47e215cd1bba2e976ef39f5710a76"},
     {file = "matplotlib_inline-0.2.1.tar.gz", hash = "sha256:e1ee949c340d771fc39e241ea75683deb94762c8fa5f2927ec57c83c4dffa9fe"},
@@ -1952,10 +1859,10 @@ test = ["flake8", "nbdime", "nbval", "notebook", "pytest"]
 name = "mo-gymnasium"
 version = "1.1.0"
 description = "A standard API for MORL and a diverse set of reference environments."
-optional = false
+optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "mo-gymnasium-1.1.0.tar.gz", hash = "sha256:feaee103e33acfacb4f2f0729f83b4905bd2d8e2fca944681395203a30acec89"},
     {file = "mo_gymnasium-1.1.0-py3-none-any.whl", hash = "sha256:4cef786ce169949b2bc7b714743ed070a2aaefb9498d96aaf26128b937573b09"},
@@ -1981,10 +1888,10 @@ testing = ["pytest (==7.1.3)"]
 name = "momaland"
 version = "0.1.1"
 description = "A standard API for Multi-Objective Multi-Agent Decision making and a diverse set of reference environments."
-optional = false
+optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "momaland-0.1.1-py3-none-any.whl", hash = "sha256:288f27fb72e2db67bc4aec9d250d5ddb2526667f52b4c825ccc4387355eb3cc9"},
     {file = "momaland-0.1.1.tar.gz", hash = "sha256:ffd61796d5cfbac21125b6fe1d156b816c44d404d5d072e3accdcf7c45c18b5a"},
@@ -2011,10 +1918,10 @@ testing = ["pytest (==7.1.3)"]
 name = "moocore"
 version = "0.2.0"
 description = "Core Algorithms for Multi-Objective Optimization"
-optional = false
+optional = true
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "moocore-0.2.0-cp310-abi3-macosx_10_9_universal2.whl", hash = "sha256:653449231f328d3c9e69693ec3d44e8c77f38ab7e9ef0c69dd9ded40449e980d"},
     {file = "moocore-0.2.0-cp310-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:cf8f091a7304532ed605acd82acd051e89af22ece8e2a27a3cee0faf9f2ea185"},
@@ -2042,10 +1949,10 @@ test = ["pandas (>=2)", "pytest (>7)"]
 name = "morl-baselines"
 version = "1.0.0"
 description = "Implementations of multi-objective reinforcement learning (MORL) algorithms."
-optional = false
+optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "morl-baselines-1.0.0.tar.gz", hash = "sha256:54db64cf2fe455b289777e1164ee4a9961cdc8526e5eff0c65f0ab3983119844"},
     {file = "morl_baselines-1.0.0-py3-none-any.whl", hash = "sha256:966db5e2a080c4b1314f6ea6ccfab42875519e5ef8a93898d01c401cbdc55642"},
@@ -2076,10 +1983,10 @@ testing = ["pytest (==7.1.3)"]
 name = "moviepy"
 version = "1.0.3"
 description = "Video editing with Python"
-optional = false
+optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "moviepy-1.0.3.tar.gz", hash = "sha256:2884e35d1788077db3ff89e763c5ba7bfddbd7ae9108c9bc809e7ba58fa433f5"},
 ]
@@ -2102,10 +2009,10 @@ test = ["coverage (<5.0)", "coveralls (>=1.1,<2.0)", "pytest (>=3.0.0,<4.0)", "p
 name = "mpmath"
 version = "1.3.0"
 description = "Python library for arbitrary-precision floating-point arithmetic"
-optional = false
+optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
     {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
@@ -2124,7 +2031,6 @@ description = "better multiprocessing and multithreading in Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "multiprocess-0.70.19-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:02e5c35d7d6cd2bdc89c1858867f7bde4012837411023a4696c148c1bdd7c80e"},
     {file = "multiprocess-0.70.19-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:79576c02d1207ec405b00cabf2c643c36070800cca433860e14539df7818b2aa"},
@@ -2154,7 +2060,6 @@ description = "Extremely lightweight compatibility layer between dataframe libra
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "narwhals-2.18.0-py3-none-any.whl", hash = "sha256:68378155ee706ac9c5b25868ef62ecddd62947b6df7801a0a156bc0a615d2d0d"},
     {file = "narwhals-2.18.0.tar.gz", hash = "sha256:1de5cee338bc17c338c6278df2c38c0dd4290499fcf70d75e0a51d5f22a6e960"},
@@ -2181,41 +2086,19 @@ description = "Patch asyncio to allow nested event loops"
 optional = false
 python-versions = ">=3.5"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"},
     {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
 ]
 
-[[package]]
-name = "networkx"
-version = "3.4.2"
-description = "Python package for creating and manipulating graphs and networks"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version == \"3.10\" and (sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\")"
-files = [
-    {file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"},
-    {file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"},
-]
-
-[package.extras]
-default = ["matplotlib (>=3.7)", "numpy (>=1.24)", "pandas (>=2.0)", "scipy (>=1.10,!=1.11.0,!=1.11.1)"]
-developer = ["changelist (==0.5)", "mypy (>=1.1)", "pre-commit (>=3.2)", "rtoml"]
-doc = ["intersphinx-registry", "myst-nb (>=1.1)", "numpydoc (>=1.8.0)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.15)", "sphinx (>=7.3)", "sphinx-gallery (>=0.16)", "texext (>=0.6.7)"]
-example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "momepy (>=0.7.2)", "osmnx (>=1.9)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"]
-extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"]
-test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
-
 [[package]]
 name = "networkx"
 version = "3.6"
 description = "Python package for creating and manipulating graphs and networks"
-optional = false
+optional = true
 python-versions = ">=3.11"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version >= \"3.14\""
+markers = "extra == \"rl\""
 files = [
     {file = "networkx-3.6-py3-none-any.whl", hash = "sha256:cdb395b105806062473d3be36458d8f1459a4e4b98e236a66c3a48996e07684f"},
     {file = "networkx-3.6.tar.gz", hash = "sha256:285276002ad1f7f7da0f7b42f004bcba70d381e936559166363707fdad3d72ad"},
@@ -2232,77 +2115,60 @@ release = ["build (>=0.10)", "changelist (==0.5)", "twine (>=4.0)", "wheel (>=0.
 test = ["pytest (>=7.2)", "pytest-cov (>=4.0)", "pytest-xdist (>=3.0)"]
 test-extras = ["pytest-mpl", "pytest-randomly"]
 
-[[package]]
-name = "networkx"
-version = "3.6.1"
-description = "Python package for creating and manipulating graphs and networks"
-optional = false
-python-versions = "!=3.14.1,>=3.11"
-groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version >= \"3.11\" and python_version < \"3.14\""
-files = [
-    {file = "networkx-3.6.1-py3-none-any.whl", hash = "sha256:d47fbf302e7d9cbbb9e2555a0d267983d2aa476bac30e90dfbe5669bd57f3762"},
-    {file = "networkx-3.6.1.tar.gz", hash = "sha256:26b7c357accc0c8cde558ad486283728b65b6a95d85ee1cd66bafab4c8168509"},
-]
-
-[package.extras]
-benchmarking = ["asv", "virtualenv"]
-default = ["matplotlib (>=3.8)", "numpy (>=1.25)", "pandas (>=2.0)", "scipy (>=1.11.2)"]
-developer = ["mypy (>=1.15)", "pre-commit (>=4.1)"]
-doc = ["intersphinx-registry", "myst-nb (>=1.1)", "numpydoc (>=1.8.0)", "pillow (>=10)", "pydata-sphinx-theme (>=0.16)", "sphinx (>=8.0)", "sphinx-gallery (>=0.18)", "texext (>=0.6.7)"]
-example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "iplotx (>=0.9.0)", "momepy (>=0.7.2)", "osmnx (>=2.0.0)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"]
-extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"]
-release = ["build (>=0.10)", "changelist (==0.5)", "twine (>=4.0)", "wheel (>=0.40)"]
-test = ["pytest (>=7.2)", "pytest-cov (>=4.0)", "pytest-xdist (>=3.0)"]
-test-extras = ["pytest-mpl", "pytest-randomly"]
-
 [[package]]
 name = "numpy"
-version = "1.24.3"
+version = "1.26.4"
 description = "Fundamental package for array computing in Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
-files = [
-    {file = "numpy-1.24.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3c1104d3c036fb81ab923f507536daedc718d0ad5a8707c6061cdfd6d184e570"},
-    {file = "numpy-1.24.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:202de8f38fc4a45a3eea4b63e2f376e5f2dc64ef0fa692838e31a808520efaf7"},
-    {file = "numpy-1.24.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8535303847b89aa6b0f00aa1dc62867b5a32923e4d1681a35b5eef2d9591a463"},
-    {file = "numpy-1.24.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2d926b52ba1367f9acb76b0df6ed21f0b16a1ad87c6720a1121674e5cf63e2b6"},
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 [[package]]
 name = "nvidia-cublas-cu12"
 version = "12.1.3.1"
 description = "CUBLAS native runtime libraries"
-optional = false
+optional = true
 python-versions = ">=3"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\""
 files = [
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@@ -2312,10 +2178,10 @@ files = [
 name = "nvidia-cuda-cupti-cu12"
 version = "12.1.105"
 description = "CUDA profiling tools runtime libs."
-optional = false
+optional = true
 python-versions = ">=3"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\""
 files = [
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@@ -2325,10 +2191,10 @@ files = [
 name = "nvidia-cuda-nvrtc-cu12"
 version = "12.1.105"
 description = "NVRTC native runtime libraries"
-optional = false
+optional = true
 python-versions = ">=3"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\""
 files = [
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@@ -2338,10 +2204,10 @@ files = [
 name = "nvidia-cuda-runtime-cu12"
 version = "12.1.105"
 description = "CUDA Runtime native Libraries"
-optional = false
+optional = true
 python-versions = ">=3"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\""
 files = [
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@@ -2351,10 +2217,10 @@ files = [
 name = "nvidia-cudnn-cu12"
 version = "9.1.0.70"
 description = "cuDNN runtime libraries"
-optional = false
+optional = true
 python-versions = ">=3"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\""
 files = [
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@@ -2367,10 +2233,10 @@ nvidia-cublas-cu12 = "*"
 name = "nvidia-cufft-cu12"
 version = "11.0.2.54"
 description = "CUFFT native runtime libraries"
-optional = false
+optional = true
 python-versions = ">=3"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\""
 files = [
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@@ -2380,10 +2246,10 @@ files = [
 name = "nvidia-curand-cu12"
 version = "10.3.2.106"
 description = "CURAND native runtime libraries"
-optional = false
+optional = true
 python-versions = ">=3"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\""
 files = [
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@@ -2393,10 +2259,10 @@ files = [
 name = "nvidia-cusolver-cu12"
 version = "11.4.5.107"
 description = "CUDA solver native runtime libraries"
-optional = false
+optional = true
 python-versions = ">=3"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\""
 files = [
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@@ -2411,10 +2277,10 @@ nvidia-nvjitlink-cu12 = "*"
 name = "nvidia-cusparse-cu12"
 version = "12.1.0.106"
 description = "CUSPARSE native runtime libraries"
-optional = false
+optional = true
 python-versions = ">=3"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\""
 files = [
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@@ -2427,10 +2293,10 @@ nvidia-nvjitlink-cu12 = "*"
 name = "nvidia-nccl-cu12"
 version = "2.20.5"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
-optional = false
+optional = true
 python-versions = ">=3"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\""
 files = [
     {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01"},
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@@ -2440,10 +2306,10 @@ files = [
 name = "nvidia-nvjitlink-cu12"
 version = "12.9.86"
 description = "Nvidia JIT LTO Library"
-optional = false
+optional = true
 python-versions = ">=3"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\""
 files = [
     {file = "nvidia_nvjitlink_cu12-12.9.86-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:e3f1171dbdc83c5932a45f0f4c99180a70de9bd2718c1ab77d14104f6d7147f9"},
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@@ -2454,10 +2320,10 @@ files = [
 name = "nvidia-nvtx-cu12"
 version = "12.1.105"
 description = "NVIDIA Tools Extension"
-optional = false
+optional = true
 python-versions = ">=3"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_machine == \"x86_64\" and platform_system == \"Linux\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"rl\""
 files = [
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@@ -2467,10 +2333,10 @@ files = [
 name = "osqp"
 version = "1.1.1"
 description = "OSQP: The Operator Splitting QP Solver"
-optional = false
+optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
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@@ -2529,77 +2395,11 @@ description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version >= \"3.12\""
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-
-[package.dependencies]
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-python-dateutil = ">=2.8.2"
-pytz = ">=2020.1"
-tzdata = ">=2022.1"
-
-[package.extras]
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-hdf5 = ["tables (>=3.6.1)"]
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-mysql = ["SQLAlchemy (>=1.4.16)", "pymysql (>=1.0.2)"]
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-parquet = ["pyarrow (>=7.0.0)"]
-performance = ["bottleneck (>=1.3.2)", "numba (>=0.53.1)", "numexpr (>=2.7.1)"]
-plot = ["matplotlib (>=3.6.1)"]
-postgresql = ["SQLAlchemy (>=1.4.16)", "psycopg2 (>=2.8.6)"]
-spss = ["pyreadstat (>=1.1.2)"]
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-xml = ["lxml (>=4.6.3)"]
-
 [[package]]
 name = "pandas"
 version = "2.3.3"
@@ -2607,7 +2407,7 @@ description = "Powerful data structures for data analysis, time series, and stat
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "python_version < \"3.12\" and (sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\")"
+markers = "python_version >= \"3.14\""
 files = [
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@@ -2667,10 +2467,7 @@ files = [
 ]
 
 [package.dependencies]
-numpy = [
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-    {version = ">=1.23.2", markers = "python_version == \"3.11\""},
-]
+numpy = {version = ">=1.26.0", markers = "python_version >= \"3.12\""}
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
 tzdata = ">=2022.7"
@@ -2700,6 +2497,96 @@ sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-d
 test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
 xml = ["lxml (>=4.9.2)"]
 
+[[package]]
+name = "pandas"
+version = "3.0.2"
+description = "Powerful data structures for data analysis, time series, and statistics"
+optional = false
+python-versions = ">=3.11"
+groups = ["main"]
+markers = "python_version < \"3.14\""
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+tzdata = {version = "*", markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\""}
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+plot = ["matplotlib (>=3.9.3)"]
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+timezone = ["pytz (>=2024.2)"]
+xml = ["lxml (>=5.3.0)"]
+
 [[package]]
 name = "parso"
 version = "0.8.6"
@@ -2707,7 +2594,6 @@ description = "A Python Parser"
 optional = false
 python-versions = ">=3.6"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -2724,7 +2610,6 @@ description = "A Python package for describing statistical models and for buildi
 optional = false
 python-versions = ">=3.6"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -2740,10 +2625,10 @@ test = ["pytest", "pytest-cov", "scipy"]
 name = "pettingzoo"
 version = "1.24.3"
 description = "Gymnasium for multi-agent reinforcement learning."
-optional = false
+optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
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@@ -2790,7 +2675,6 @@ description = "Python Imaging Library (fork)"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -2900,7 +2784,6 @@ description = "A small Python package for determining appropriate platform-speci
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
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@@ -2913,7 +2796,6 @@ description = "Multiobjective optimization in Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -2931,7 +2813,6 @@ description = "An open-source interactive data visualization library for Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -2956,7 +2837,6 @@ description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -2973,7 +2853,6 @@ description = "A friend to fetch your data files"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -2994,10 +2873,10 @@ xxhash = ["xxhash (>=1.4.3)"]
 name = "proglog"
 version = "0.1.12"
 description = "Log and progress bar manager for console, notebooks, web..."
-optional = false
+optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
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@@ -3013,7 +2892,6 @@ description = "Library for building powerful interactive command lines in Python
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -3029,7 +2907,6 @@ description = ""
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -3050,7 +2927,6 @@ description = "Cross-platform lib for process and system monitoring."
 optional = false
 python-versions = ">=3.6"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -3099,7 +2975,6 @@ description = "Safely evaluate AST nodes without side effects"
 optional = false
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -3115,7 +2990,6 @@ description = "ISO country, subdivision, language, currency and script definitio
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -3128,7 +3002,7 @@ description = "C parser in Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and implementation_name != \"PyPy\""
+markers = "(implementation_name == \"pypy\" or extra == \"rl\") and implementation_name != \"PyPy\""
 files = [
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@@ -3141,7 +3015,6 @@ description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -3164,7 +3037,6 @@ description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -3296,10 +3168,10 @@ typing-extensions = ">=4.14.1"
 name = "pygame"
 version = "2.3.0"
 description = "Python Game Development"
-optional = false
+optional = true
 python-versions = ">=3.6"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
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@@ -3378,7 +3250,6 @@ description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -3391,10 +3262,10 @@ windows-terminal = ["colorama (>=0.4.6)"]
 name = "pymoo"
 version = "0.6.1.6"
 description = "Multi-Objective Optimization in Python"
-optional = false
+optional = true
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
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@@ -3454,10 +3325,10 @@ parallelization = ["dask[distributed]", "joblib", "ray[default]"]
 name = "pymunk"
 version = "6.2.0"
 description = "Pymunk is a easy-to-use pythonic 2d physics library"
-optional = false
+optional = true
 python-versions = ">=3.6"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
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@@ -3504,10 +3375,10 @@ dev = ["aafigure", "matplotlib", "pygame", "pyglet", "sphinx", "wheel"]
 name = "pyopengl"
 version = "3.1.6"
 description = "Standard OpenGL bindings for Python"
-optional = false
+optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
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@@ -3518,10 +3389,10 @@ files = [
 name = "pyopengl-accelerate"
 version = "3.1.10"
 description = "Cython-coded accelerators for PyOpenGL"
-optional = false
+optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
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@@ -3573,7 +3444,6 @@ description = "pyparsing - Classes and methods to define and execute parsing gra
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -3589,7 +3459,6 @@ description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -3597,12 +3466,10 @@ files = [
 
 [package.dependencies]
 colorama = {version = ">=0.4", markers = "sys_platform == \"win32\""}
-exceptiongroup = {version = ">=1", markers = "python_version < \"3.11\""}
 iniconfig = ">=1.0.1"
 packaging = ">=22"
 pluggy = ">=1.5,<2"
 pygments = ">=2.7.2"
-tomli = {version = ">=1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "requests", "setuptools", "xmlschema"]
@@ -3614,7 +3481,6 @@ description = "Open API to/fro routes, models, and tests. Convert between docstr
 optional = false
 python-versions = ">=3.6"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -3630,7 +3496,6 @@ description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -3646,7 +3511,7 @@ description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "python_version >= \"3.14\""
 files = [
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@@ -3659,7 +3524,6 @@ description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -3743,7 +3607,6 @@ description = "Python bindings for 0MQ"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -3849,7 +3712,6 @@ description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -3872,7 +3734,6 @@ description = "Tools for global sensitivity analysis. Contains Sobol', Morris, F
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -3891,63 +3752,6 @@ distributed = ["pathos (>=0.3.2)"]
 doc = ["myst-parser", "numpydoc", "pydata-sphinx-theme (>=0.15.2)", "sphinx"]
 test = ["pathos (>=0.3.2)", "pytest", "pytest-cov"]
 
-[[package]]
-name = "scikit-learn"
-version = "1.7.2"
-description = "A set of python modules for machine learning and data mining"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version == \"3.10\" and (sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\")"
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-
-[package.dependencies]
-joblib = ">=1.2.0"
-numpy = ">=1.22.0"
-scipy = ">=1.8.0"
-threadpoolctl = ">=3.1.0"
-
-[package.extras]
-benchmark = ["matplotlib (>=3.5.0)", "memory_profiler (>=0.57.0)", "pandas (>=1.4.0)"]
-build = ["cython (>=3.0.10)", "meson-python (>=0.17.1)", "numpy (>=1.22.0)", "scipy (>=1.8.0)"]
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-install = ["joblib (>=1.2.0)", "numpy (>=1.22.0)", "scipy (>=1.8.0)", "threadpoolctl (>=3.1.0)"]
-maintenance = ["conda-lock (==3.0.1)"]
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-
 [[package]]
 name = "scikit-learn"
 version = "1.8.0"
@@ -3955,7 +3759,6 @@ description = "A set of python modules for machine learning and data mining"
 optional = false
 python-versions = ">=3.11"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version >= \"3.11\""
 files = [
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@@ -4018,7 +3821,6 @@ description = "Fundamental algorithms for scientific computing in Python"
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 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
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@@ -4080,10 +3882,10 @@ test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis
 name = "scs"
 version = "3.2.11"
 description = "Splitting conic solver"
-optional = false
+optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
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@@ -4134,7 +3936,6 @@ description = "Statistical data visualization"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
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@@ -4157,7 +3958,6 @@ description = "Python client for Sentry (https://sentry.io)"
 optional = false
 python-versions = ">=3.6"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
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@@ -4221,7 +4021,6 @@ description = "A Python module to customize the process title"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
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@@ -4329,10 +4128,10 @@ test = ["pytest"]
 name = "setuptools"
 version = "82.0.1"
 description = "Most extensible Python build backend with support for C/C++ extension modules"
-optional = false
+optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
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@@ -4354,7 +4153,6 @@ description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
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@@ -4367,7 +4165,6 @@ description = "A pure Python implementation of a sliding window memory map manag
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
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@@ -4380,7 +4177,6 @@ description = "Extract data from python stack frames and tracebacks for informat
 optional = false
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
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@@ -4401,7 +4197,6 @@ description = "Statistical computations and models for Python"
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 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
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@@ -4457,10 +4252,10 @@ docs = ["ipykernel", "jupyter_client", "matplotlib", "nbconvert", "nbformat", "n
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 version = "3.9.3"
 description = "Wrappers for Gymnasium and PettingZoo"
-optional = false
+optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
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@@ -4478,10 +4273,10 @@ testing = ["AutoROM", "moviepy (>=1.0.0)", "pettingzoo[all,atari] (>=1.23.1)", "
 name = "sympy"
 version = "1.14.0"
 description = "Computer algebra system (CAS) in Python"
-optional = false
+optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
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@@ -4497,10 +4292,10 @@ dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"]
 name = "tensorboard"
 version = "2.19.0"
 description = "TensorBoard lets you watch Tensors Flow"
-optional = false
+optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
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@@ -4521,10 +4316,10 @@ werkzeug = ">=1.0.1"
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 version = "0.7.2"
 description = "Fast data loading for TensorBoard"
-optional = false
+optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
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@@ -4535,10 +4330,10 @@ files = [
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 version = "3.3.0"
 description = "ANSI color formatting for output in terminal"
-optional = false
+optional = true
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
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@@ -4554,7 +4349,6 @@ description = "threadpoolctl"
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 python-versions = ">=3.9"
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-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -4564,10 +4358,10 @@ files = [
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 version = "1.2.8"
 description = "A tiny, simple image scaler."
-optional = false
+optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
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@@ -4590,72 +4384,14 @@ files = [
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 numpy = ">=1.21.0"
 
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-    {file = "tomli-2.4.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:5b5807f3999fb66776dbce568cc9a828544244a8eb84b84b9bafc080c99597b9"},
-    {file = "tomli-2.4.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:c084ad935abe686bd9c898e62a02a19abfc9760b5a79bc29644463eaf2840cb0"},
-    {file = "tomli-2.4.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0f2e3955efea4d1cfbcb87bc321e00dc08d2bcb737fd1d5e398af111d86db5df"},
-    {file = "tomli-2.4.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0e0fe8a0b8312acf3a88077a0802565cb09ee34107813bba1c7cd591fa6cfc8d"},
-    {file = "tomli-2.4.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:413540dce94673591859c4c6f794dfeaa845e98bf35d72ed59636f869ef9f86f"},
-    {file = "tomli-2.4.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:0dc56fef0e2c1c470aeac5b6ca8cc7b640bb93e92d9803ddaf9ea03e198f5b0b"},
-    {file = "tomli-2.4.0-cp314-cp314t-win32.whl", hash = "sha256:d878f2a6707cc9d53a1be1414bbb419e629c3d6e67f69230217bb663e76b5087"},
-    {file = "tomli-2.4.0-cp314-cp314t-win_amd64.whl", hash = "sha256:2add28aacc7425117ff6364fe9e06a183bb0251b03f986df0e78e974047571fd"},
-    {file = "tomli-2.4.0-cp314-cp314t-win_arm64.whl", hash = "sha256:2b1e3b80e1d5e52e40e9b924ec43d81570f0e7d09d11081b797bc4692765a3d4"},
-    {file = "tomli-2.4.0-py3-none-any.whl", hash = "sha256:1f776e7d669ebceb01dee46484485f43a4048746235e683bcdffacdf1fb4785a"},
-    {file = "tomli-2.4.0.tar.gz", hash = "sha256:aa89c3f6c277dd275d8e243ad24f3b5e701491a860d5121f2cdd399fbb31fc9c"},
-]
-
 [[package]]
 name = "torch"
 version = "2.4.1"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
-optional = false
+optional = true
 python-versions = ">=3.8.0"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "torch-2.4.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:362f82e23a4cd46341daabb76fba08f04cd646df9bfaf5da50af97cb60ca4971"},
     {file = "torch-2.4.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:e8ac1985c3ff0f60d85b991954cfc2cc25f79c84545aead422763148ed2759e3"},
@@ -4711,7 +4447,6 @@ description = "Tornado is a Python web framework and asynchronous networking lib
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "tornado-6.5.5-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:487dc9cc380e29f58c7ab88f9e27cdeef04b2140862e5076a66fb6bb68bb1bfa"},
     {file = "tornado-6.5.5-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:65a7f1d46d4bb41df1ac99f5fcb685fb25c7e61613742d5108b010975a9a6521"},
@@ -4732,7 +4467,6 @@ description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"},
     {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"},
@@ -4755,7 +4489,6 @@ description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
     {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
@@ -4769,10 +4502,10 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 name = "triton"
 version = "3.0.0"
 description = "A language and compiler for custom Deep Learning operations"
-optional = false
+optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "python_version < \"3.13\" and (sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version == \"3.12\" and extra == \"rl\""
 files = [
     {file = "triton-3.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e1efef76935b2febc365bfadf74bcb65a6f959a9872e5bddf44cc9e0adce1e1a"},
     {file = "triton-3.0.0-1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5ce8520437c602fb633f1324cc3871c47bee3b67acf9756c1a66309b60e3216c"},
@@ -4796,7 +4529,6 @@ description = "Run-time type checker for Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "typeguard-4.5.1-py3-none-any.whl", hash = "sha256:44d2bf329d49a244110a090b55f5f91aa82d9a9834ebfd30bcc73651e4a8cc40"},
     {file = "typeguard-4.5.1.tar.gz", hash = "sha256:f6f8ecbbc819c9bc749983cc67c02391e16a9b43b8b27f15dc70ed7c4a007274"},
@@ -4812,7 +4544,6 @@ description = "Backported and Experimental Type Hints for Python 3.9+"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"},
     {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"},
@@ -4825,7 +4556,6 @@ description = "Runtime typing introspection tools"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7"},
     {file = "typing_inspection-0.4.2.tar.gz", hash = "sha256:ba561c48a67c5958007083d386c3295464928b01faa735ab8547c5692e87f464"},
@@ -4841,7 +4571,6 @@ description = "CLI interfaces & config objects, from types"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "tyro-1.0.10-py3-none-any.whl", hash = "sha256:8de87a3a40c8a91f10831f8f0638cd0eed00f0e4de9cd3d561e967f407477210"},
     {file = "tyro-1.0.10.tar.gz", hash = "sha256:2822eacac963a4922bf7eafe3b156a1f0f7fe8e34148202987581224f25565c2"},
@@ -4863,7 +4592,7 @@ description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or python_version >= \"3.14\""
 files = [
     {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"},
     {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"},
@@ -4876,7 +4605,6 @@ description = "HTTP library with thread-safe connection pooling, file post, and
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"},
     {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"},
@@ -4895,7 +4623,6 @@ description = "A CLI and library for interacting with the Weights & Biases API."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "wandb-0.20.1-py3-none-any.whl", hash = "sha256:e6395cabf074247042be1cf0dc6ab0b06aa4c9538c2e1fdc5b507a690ce0cf17"},
     {file = "wandb-0.20.1-py3-none-macosx_10_14_x86_64.whl", hash = "sha256:2475a48c693adf677d40da9e1c8ceeaf86d745ffc3b7e3535731279d02f9e845"},
@@ -4944,7 +4671,6 @@ description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "wcwidth-0.6.0-py3-none-any.whl", hash = "sha256:1a3a1e510b553315f8e146c54764f4fb6264ffad731b3d78088cdb1478ffbdad"},
     {file = "wcwidth-0.6.0.tar.gz", hash = "sha256:cdc4e4262d6ef9a1a57e018384cbeb1208d8abbc64176027e2c2455c81313159"},
@@ -4954,10 +4680,10 @@ files = [
 name = "werkzeug"
 version = "3.1.6"
 description = "The comprehensive WSGI web application library."
-optional = false
+optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "werkzeug-3.1.6-py3-none-any.whl", hash = "sha256:7ddf3357bb9564e407607f988f683d72038551200c704012bb9a4c523d42f131"},
     {file = "werkzeug-3.1.6.tar.gz", hash = "sha256:210c6bede5a420a913956b4791a7f4d6843a43b6fcee4dfa08a65e93007d0d25"},
@@ -4973,10 +4699,10 @@ watchdog = ["watchdog (>=2.3)"]
 name = "wrapt"
 version = "2.1.2"
 description = "Module for decorators, wrappers and monkey patching."
-optional = false
+optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\""
+markers = "extra == \"rl\""
 files = [
     {file = "wrapt-2.1.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4b7a86d99a14f76facb269dc148590c01aaf47584071809a70da30555228158c"},
     {file = "wrapt-2.1.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a819e39017f95bf7aede768f75915635aa8f671f2993c036991b8d3bfe8dbb6f"},
@@ -5080,7 +4806,6 @@ description = "N-D labeled arrays and datasets in Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "(sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\") and python_version >= \"3.12\""
 files = [
     {file = "xarray-2024.7.0-py3-none-any.whl", hash = "sha256:1b0fd51ec408474aa1f4a355d75c00cc1c02bd425d97b2c2e551fd21810e7f64"},
     {file = "xarray-2024.7.0.tar.gz", hash = "sha256:4cae512d121a8522d41e66d942fb06c526bc1fd32c2c181d5fe62fe65b671638"},
@@ -5099,34 +4824,10 @@ io = ["cftime", "fsspec", "h5netcdf", "netCDF4", "pooch", "pydap ; python_versio
 parallel = ["dask[complete]"]
 viz = ["matplotlib", "nc-time-axis", "seaborn"]
 
-[[package]]
-name = "xarray"
-version = "2025.6.1"
-description = "N-D labeled arrays and datasets in Python"
-optional = false
-python-versions = ">=3.10"
-groups = ["main"]
-markers = "python_version < \"3.12\" and (sys_platform == \"win32\" or sys_platform == \"emscripten\" or sys_platform != \"win32\" and sys_platform != \"emscripten\")"
-files = [
-    {file = "xarray-2025.6.1-py3-none-any.whl", hash = "sha256:8b988b47f67a383bdc3b04c5db475cd165e580134c1f1943d52aee4a9c97651b"},
-    {file = "xarray-2025.6.1.tar.gz", hash = "sha256:a84f3f07544634a130d7dc615ae44175419f4c77957a7255161ed99c69c7c8b0"},
-]
-
-[package.dependencies]
-numpy = ">=1.24"
-packaging = ">=23.2"
-pandas = ">=2.1"
-
-[package.extras]
-accel = ["bottleneck", "flox", "numba (>=0.54)", "numbagg", "opt_einsum", "scipy"]
-complete = ["xarray[accel,etc,io,parallel,viz]"]
-etc = ["sparse"]
-io = ["cftime", "fsspec", "h5netcdf", "netCDF4", "pooch", "pydap ; python_version < \"3.10\"", "scipy", "zarr"]
-parallel = ["dask[complete]"]
-types = ["pandas-stubs", "scipy-stubs", "types-PyYAML", "types-Pygments", "types-colorama", "types-decorator", "types-defusedxml", "types-docutils", "types-networkx", "types-openpyxl", "types-pexpect", "types-psutil", "types-pycurl", "types-python-dateutil", "types-pytz", "types-setuptools"]
-viz = ["cartopy", "matplotlib", "nc-time-axis", "seaborn"]
+[extras]
+rl = ["SuperSuit", "gymnasium", "momaland", "morl-baselines", "pettingzoo", "tensorboard", "torch"]
 
 [metadata]
 lock-version = "2.1"
-python-versions = ">=3.10, <4"
-content-hash = "e3e3ca4ca8a7e9de638d766e2b84dadce5008b89e88f996c95fdebc8dded6bcc"
+python-versions = ">=3.12, <4"
+content-hash = "edfa101758f82dde2b17a5bc467806a723aecaac9e6a2fadfddef0928b3e2579"
diff --git a/pyproject.toml b/pyproject.toml
index a7482aa..000a3b9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,12 +5,12 @@ description = "JUSTICE is an open-source Integrated Assessment Modeling Framewor
 authors = [{ name = "PBiswas", email = "p.biswas@tudelft.nl" }]
 license = { text = "BSD-3-Clause" }
 readme = "README.md"
-requires-python = ">=3.10, <4"
+requires-python = ">=3.12, <4"
 dependencies = [
     "fair (==2.1.3)",
     "h5py (==3.13.0)",
     "platypus-opt (==1.4.1)",
-    "ema-workbench (==2.5.3)",
+    "ema-workbench (>=3.0.0)",
     "scipy (>=1.10.0)",
     "deap (>=1.4.0)",
     "ipyparallel (>=8.6.1)",
@@ -19,16 +19,21 @@ dependencies = [
     "seaborn (>=0.13.0)",
     "tyro (>=0.9.24)",
     "wandb (==0.20.1)",
-    "numpy (==1.24.3)",
+    "numpy (>=1.26.0, <2.0)",
+    "pandas (>=2.1.0)",
+    "python-cdd (==0.0.98)",
+    "pytest (>=8.0)",
+]
+
+[project.optional-dependencies]
+rl = [
     "torch (==2.4.1)",
     "SuperSuit (==3.9.3)",
     "pettingzoo (==1.24.3)",
-    "python-cdd (==0.0.98)",
     "momaland (==0.1.1)",
     "gymnasium (==0.28.1)",
     "morl-baselines (==1.0.0)",
     "tensorboard (==2.19.0)",
-    "pytest (>=8.0)",
 ]
 
 [build-system]
diff --git a/run_optimization.py b/run_optimization.py
index 04e3646..9f1d5d1 100644
--- a/run_optimization.py
+++ b/run_optimization.py
@@ -19,7 +19,6 @@
 import numpy as np
 from ema_workbench import (
     Model,
-    Policy,
     RealParameter,
     ScalarOutcome,
     CategoricalParameter,
@@ -28,14 +27,9 @@
     SequentialEvaluator,
     MPIEvaluator,
     Constant,
-    Scenario,
-    perform_experiments,
-)
-from ema_workbench.em_framework.optimization import (
-    ArchiveLogger,
-    EpsilonProgress,
-    EpsNSGAII,
+    Sample,
 )
+from platypus import EpsNSGAII
 
 from justice.util.EMA_model_wrapper import (
     model_wrapper_emodps,
@@ -298,12 +292,12 @@ def run_optimization_adaptive(
     centers_shape = n_rbfs * n_inputs
     weights_shape = len(data_loader.REGION_LIST) * n_rbfs
 
-    centers = [RealParameter(f"center {i}", -1.0, 1.0) for i in range(centers_shape)]
+    centers = [RealParameter(f"center_{i}", -1.0, 1.0) for i in range(centers_shape)]
     radii = [
-        RealParameter(f"radii {i}", SMALL_NUMBER, 1.0) for i in range(centers_shape)
+        RealParameter(f"radii_{i}", SMALL_NUMBER, 1.0) for i in range(centers_shape)
     ]
     weights = [
-        RealParameter(f"weights {i}", SMALL_NUMBER, 1.0) for i in range(weights_shape)
+        RealParameter(f"weights_{i}", SMALL_NUMBER, 1.0) for i in range(weights_shape)
     ]
     model.levers = centers + radii + weights
 
@@ -316,7 +310,7 @@ def run_optimization_adaptive(
         ),
     ]
 
-    reference_scenario = Scenario("reference", ssp_rcp_scenario=reference_index)
+    reference_scenario = Sample("reference", ssp_rcp_scenario=reference_index)
 
     filename = f"{social_welfare_function.value[1]}_{nfe}_{seed}.tar.gz"
     timestamp = datetime.datetime.now().strftime("%Y_%m")  # _%d_%H_%M_%S
@@ -332,18 +326,6 @@ def run_optimization_adaptive(
     os.makedirs(directory_name, exist_ok=True)
 
     rank = _mpi_rank()
-    if rank == 0:
-        convergence = [
-            ArchiveLogger(
-                directory_name,
-                [lever.name for lever in model.levers],
-                [outcome.name for outcome in model.outcomes],
-                base_filename=filename,
-            ),
-            EpsilonProgress(),
-        ]
-    else:
-        convergence = []
 
     if optimizer == Optimizer.EpsNSGAII:
         algorithm_class = EpsNSGAII
@@ -368,7 +350,8 @@ def run_optimization_adaptive(
                 nfe=nfe,
                 epsilons=epsilons,
                 reference=reference_scenario,
-                convergence=convergence,
+                filename=filename,
+                directory=directory_name,
                 population_size=population_size,
                 algorithm=algorithm_class,
             )
@@ -379,7 +362,8 @@ def run_optimization_adaptive(
                 nfe=nfe,
                 epsilons=epsilons,
                 reference=reference_scenario,
-                convergence=convergence,
+                filename=filename,
+                directory=directory_name,
                 population_size=population_size,
                 algorithm=algorithm_class,
             )
@@ -390,7 +374,8 @@ def run_optimization_adaptive(
                 nfe=nfe,
                 epsilons=epsilons,
                 reference=reference_scenario,
-                convergence=convergence,
+                filename=filename,
+                directory=directory_name,
                 population_size=population_size,
                 algorithm=algorithm_class,
             )
@@ -524,15 +509,15 @@ def run_optimization_momadps(
     levers = []
     for macro_idx in range(n_macro_regions):
         levers.extend(
-            RealParameter(f"center {macro_idx} {i}", -1.0, 1.0)
+            RealParameter(f"center_{macro_idx}_{i}", -1.0, 1.0)
             for i in range(centers_len)
         )
         levers.extend(
-            RealParameter(f"radii {macro_idx} {i}", SMALL_NUMBER, 1.0)
+            RealParameter(f"radii_{macro_idx}_{i}", SMALL_NUMBER, 1.0)
             for i in range(radii_len)
         )
         levers.extend(
-            RealParameter(f"weights {macro_idx} {i}", SMALL_NUMBER, 1.0)
+            RealParameter(f"weights_{macro_idx}_{i}", SMALL_NUMBER, 1.0)
             for i in range(weights_len)
         )
     model.levers = levers
@@ -570,7 +555,7 @@ def run_optimization_momadps(
         ),
     ]
 
-    reference_scenario = Scenario(
+    reference_scenario = Sample(
         "reference", ssp_rcp_scenario=reference_ssp_rcp_scenario_index
     )
 
@@ -589,15 +574,6 @@ def run_optimization_momadps(
     rank = _mpi_rank()
     lever_names = [lever.name for lever in model.levers]
     outcome_names = [outcome.name for outcome in model.outcomes]
-    if rank == 0:
-        convergence = [
-            ArchiveLogger(
-                directory_name, lever_names, outcome_names, base_filename=filename
-            ),
-            EpsilonProgress(),
-        ]
-    else:
-        convergence = []
 
     optimizer_map = {
         Optimizer.EpsNSGAII: EpsNSGAII,
@@ -628,7 +604,8 @@ def run_optimization_momadps(
             nfe=nfe,
             epsilons=epsilons,
             reference=reference_scenario,
-            convergence=convergence,
+            filename=filename,
+            directory=directory_name,
             population_size=population_size,
             algorithm=algorithm_class,
         )
@@ -768,10 +745,10 @@ def run_single_agent_momadps(
     for macro_idx in range(n_macro_regions):
         action_row = policy_bank_df.iloc[actions[macro_idx]]
         for i in range(centers_len):
-            fixed_centers[macro_idx, i] = action_row[f"center {macro_idx} {i}"]
-            fixed_radii[macro_idx, i] = action_row[f"radii {macro_idx} {i}"]
+            fixed_centers[macro_idx, i] = action_row[f"center_{macro_idx}_{i}"]
+            fixed_radii[macro_idx, i] = action_row[f"radii_{macro_idx}_{i}"]
         for i in range(weights_len):
-            fixed_weights[macro_idx, i] = action_row[f"weights {macro_idx} {i}"]
+            fixed_weights[macro_idx, i] = action_row[f"weights_{macro_idx}_{i}"]
 
     model.constants = [
         Constant("n_regions", n_regions),
@@ -814,14 +791,14 @@ def run_single_agent_momadps(
 
     levers = []
     for i in range(centers_len):
-        levers.append(RealParameter(f"center {variable_macro_index} {i}", -1.0, 1.0))
+        levers.append(RealParameter(f"center_{variable_macro_index}_{i}", -1.0, 1.0))
     for i in range(radii_len):
         levers.append(
-            RealParameter(f"radii {variable_macro_index} {i}", SMALL_NUMBER, 1.0)
+            RealParameter(f"radii_{variable_macro_index}_{i}", SMALL_NUMBER, 1.0)
         )
     for i in range(weights_len):
         levers.append(
-            RealParameter(f"weights {variable_macro_index} {i}", SMALL_NUMBER, 1.0)
+            RealParameter(f"weights_{variable_macro_index}_{i}", SMALL_NUMBER, 1.0)
         )
     model.levers = levers
 
@@ -834,7 +811,7 @@ def run_single_agent_momadps(
         ScalarOutcome("fraction_above_threshold", kind=ScalarOutcome.MINIMIZE),
     ]
 
-    reference_scenario = Scenario(
+    reference_scenario = Sample(
         "reference", ssp_rcp_scenario=reference_ssp_rcp_scenario_index
     )
 
@@ -852,17 +829,9 @@ def run_single_agent_momadps(
     os.makedirs(directory_name, exist_ok=True)
 
     rank = _mpi_rank()
+
     lever_names = [lever.name for lever in model.levers]
     outcome_names = [outcome.name for outcome in model.outcomes]
-    if rank == 0:
-        convergence = [
-            ArchiveLogger(
-                directory_name, lever_names, outcome_names, base_filename=filename
-            ),
-            EpsilonProgress(),
-        ]
-    else:
-        convergence = []
 
     set_ema_context(
         model=model,
@@ -884,7 +853,8 @@ def run_single_agent_momadps(
             nfe=nfe,
             epsilons=epsilons,
             reference=reference_scenario,
-            convergence=convergence,
+            filename=filename,
+            directory=directory_name,
             population_size=population_size,
             algorithm=algorithm_class,
         )
@@ -918,7 +888,7 @@ def build_random_policy(model, seed=1234):
     for lever in model.levers:
         low, high = lever.lower_bound, lever.upper_bound
         policy_data[lever.name] = rng.uniform(low, high)
-    return Policy("random_policy", **policy_data)
+    return Sample("random_policy", **policy_data)
 
 
 def setup_model_from_config(config_path, mapping_base_path="data/input"):
@@ -1015,15 +985,15 @@ def setup_model_from_config(config_path, mapping_base_path="data/input"):
     levers = []
     for macro_idx in range(n_macro_regions):
         levers.extend(
-            RealParameter(f"center {macro_idx} {i}", -1.0, 1.0)
+            RealParameter(f"center_{macro_idx}_{i}", -1.0, 1.0)
             for i in range(centers_len)
         )
         levers.extend(
-            RealParameter(f"radii {macro_idx} {i}", SMALL_NUMBER, 1.0)
+            RealParameter(f"radii_{macro_idx}_{i}", SMALL_NUMBER, 1.0)
             for i in range(radii_len)
         )
         levers.extend(
-            RealParameter(f"weights {macro_idx} {i}", SMALL_NUMBER, 1.0)
+            RealParameter(f"weights_{macro_idx}_{i}", SMALL_NUMBER, 1.0)
             for i in range(weights_len)
         )
     model.levers = levers
diff --git a/solvers/convergence/hypervolume.py b/solvers/convergence/hypervolume.py
index ed421a2..0f249ab 100644
--- a/solvers/convergence/hypervolume.py
+++ b/solvers/convergence/hypervolume.py
@@ -1,6 +1,6 @@
 from collections import defaultdict
 import os
-from ema_workbench.em_framework.optimization import ArchiveLogger, EpsilonProgress
+from ema_workbench import load_archives
 from sklearn.preprocessing import MinMaxScaler
 from deap.tools import _hypervolume
 import numpy as np
@@ -66,35 +66,25 @@ def load_archives(
         raise ValueError("file_name cannot be None.")
 
     full_path = Path(data_path) / file_name
-    archives = ArchiveLogger.load_archives(str(full_path))
+    # load_archives returns list[tuple[int, DataFrame]] in ema-workbench >= 3.0
+    raw_archives = load_archives(str(full_path))
+    # Convert to dict for backwards-compatible downstream usage (archives[nfe])
+    archives = {nfe: df for nfe, df in raw_archives}
 
     list_of_archives = []
     num_objectives = len(list_of_objectives)
 
     print(f"Loading archives for {file_name}")
 
-    for key, df in archives.items():
-        # If "Unnamed: 0" exists, group by it. Otherwise, group by the index.
-        group_key = "Unnamed: 0" if "Unnamed: 0" in df.columns else None
-
-        grouped = (
-            df.groupby(group_key)
-            if group_key
-            else ((idx, group) for idx, group in df.groupby(df.index))
+    for _nfe, df in raw_archives:
+        # Rename integer-indexed columns to objective names (last N columns)
+        generation = df.rename(
+            {str(i): name for i, name in enumerate(list_of_objectives)},
+            axis=1,
         )
-
-        for nfe, generation in grouped:
-            # Rename columns from 0-based indices to objective names for only the last N columns
-            # It assumes that the last `num_objectives` columns correspond to objectives.
-            generation = generation.rename(
-                {str(i): name for i, name in enumerate(list_of_objectives)},
-                axis=1,
-            )
-
-            # Select only the last n objective columns
-            generation = generation.iloc[:, -num_objectives:]
-
-            list_of_archives.append(generation)
+        # Select only the last n objective columns
+        generation = generation.iloc[:, -num_objectives:]
+        list_of_archives.append(generation)
 
     print("Archives loaded")
     return archives, list_of_archives
@@ -134,7 +124,9 @@ def load_archives_all_seeds(
             if filename.startswith(f"{current_swf}_{nfe}"):
                 file_name = filename
                 print("Matching file:", file_name)
-                archives = ArchiveLogger.load_archives(f"{data_path}/{file_name}")
+                # load_archives returns list[tuple[int, DataFrame]] in ema-workbench >= 3.0
+                raw_archives = load_archives(f"{data_path}/{file_name}")
+                archives = {nfe: df for nfe, df in raw_archives}
 
                 print("Loading archives from:", file_name)