A curated collection of Reinforcement Learning implementations from the Deep RL Course, featuring 12+ trained agents across diverse environments. This repository showcases mastery of algorithms like DQN, PPO, A2C, REINFORCE, and Q‑Learning, applied across Unity ML‑Agents, Gymnasium, Stable‑Baselines3, and VizDoom.
reinforcement-learningpytorchrl-agentstensorboardvizdoomdeep-q-networkpybulletproximal-policy-optimizationadvantage-actor-criticrl-environmentunity-ml-agentsq-learning-algorithmstable-baselines3game-development-pythongymnasium-environmentpanda-gym-roboticsatari-py
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Updated
Jun 24, 2026 - Jupyter Notebook