Deep Reinforcement Learning based Decision-Making in Autonomous Driving Tasks

Heterogeneous Multi-agent Version of Highway-env

An extension of the Planner-Actor-Reporter framework applied to autonomous vehicles in Highway-Env and CARLA.

Autonomous Driving W/ Deep Reinforcement Learning in Lane Keeping - DDQN and SAC with kinematics/birdview-images

Implementation of Deep Deterministic Policy Gradient (DDPG) method on autonomous vehicle within the highway-env

Reinforcement Learning Final Project

stress testing black-box AVs with MARL

Reinforcement Learning : Autonomous parallel parking task. implementing SAC and DreamerV3's World Model on Highway-env

🚗 Analyze and visualize decision-making in autonomous driving RL agents using Integrated Gradients for clearer interpretability in complex driving tasks.

RL/IL/Diffusion baselines for autonomous-driving decision-making in highway-env (PPO, SAC; CARLA & Diffusion Policy planned)

Interactive Learning, Fall 2022, University of Tehran

using reinforcement learning

Interpretability in Autonomous Driving: Visual Attribution Analysis of RL Agents

PPO with TTC-based reward shaping on merge-v0. PPO with time-to-collision reward shaping on highway-env merge-v0. Multi-seed evaluation shows 58% relative reduction in crash rate (p=0.024) vs sparse collision baseline. CMP4501 course project.

Development of autonomous agents driving safely in highway environment using Reinforcement Learning