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RL-models-for-Super-Mario-Bros

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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.

Creat2022-11-09T05:08:00
Update2024-07-16T11:20:12
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