Challenging Memory-based Deep Reinforcement Learning Agents
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Updated
Oct 27, 2024 - Python
Challenging Memory-based Deep Reinforcement Learning Agents
Open-source Guandan rules engine and heuristic AI starter kit for imperfect-information game research.
Counterfactual regret minimization of two-player zero-sum incomplete-information games in rust
Biblioteca para Python con algoritmos de resolución de juegos de mesa (minimax, MCTS, SO-ISMCTS y MO-ISMCTS)
🇺🇾 Uruguayan Truco game engine + library written entirely in Python
A not-so-dumb poker game-theory lab using CFR and CFR+.
Browser Doppelkopf, canonical engine contracts, and the V3 agent design for Täglich Doko.
Quarantined legacy Doppelkopf experiments and the staging area for V3 training, evaluation, and model releases.
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