Gymnasium environments for NES Mario games, with task metadata, reward instrumentation, and reproducible evaluation interfaces.
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Updated
Sep 30, 2026 - Python
Gymnasium environments for NES Mario games, with task metadata, reward instrumentation, and reproducible evaluation interfaces.
An OpenAI Gym interface to The Legend of Zelda on the NES.
This repository explores the application of three reinforcement learning algorithms—Deep Q-Networks (DQN), Double Deep Q-Networks (DDQN), and Proximal Policy Optimization (PPO)—for playing Super Mario Bros using the OpenAI Gym and nes-py emulator. It includes a comparative analysis of these models.
Reinforcement learning agents trained to play classic arcade and platformer games (Super Mario, Sonic) using deep RL algorithms. Stable-Baselines-3. PPO. Gymnasium-native.
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