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-learning pytorch rl-agents tensorboard vizdoom deep-q-network pybullet proximal-policy-optimization advantage-actor-critic rl-environment unity-ml-agents q-learning-algorithm stable-baselines3 game-development-python gymnasium-environment panda-gym-robotics atari-py
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Updated
Mar 14, 2026 - Jupyter Notebook