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proximal-policy-optimization

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omerjakoby / MARIO-RL-PPO

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This repository implements a Proximal Policy Optimization (PPO) agent that learns to play Super Mario Bros using TensorFlow/Keras and OpenAI Gym. Features CNNs for vision, Actor-Critic architecture, and parallel environments. Train your own Mario master or run a pre-trained one!

machine-learning tensorflow keras openai-gym cnn actor-critic mario-game proximal-policy-optimization ppo reinforcement-learning-agent ppo-algorithm
  • Updated Jun 1, 2025
  • PureBasic

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