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sb3

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This is a GYM environment for the PySuperTuxKart game. It is designed for Reinforcement Learning (RL) applications, particularly for educational purposes. The repository also includes examples of using this environment with Stable Baselines 3 (SB3)'s PPO algorithm.

  • Updated Nov 3, 2024
  • Jupyter Notebook

A collection of my implemented advanced & complex RL agents for games like Soccer, Street Fighter, Mortal Kombat, Rubik's Cube, Vizdoom, Montezuma, Kungfu-master, Super-Mario-bros, HalfCheetah and more by implementing advanced DRL concepts like decision transformers, RND, MARL, A3C, ICM & sample_factory. To see my other rl agents please visit

  • Updated Aug 1, 2024
  • Jupyter Notebook

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