Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.
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Updated
Jul 17, 2024 - Jupyter Notebook
Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.
Proximal Policy Optimization (PPO) algorithm for Contra
Reinforcement Learning in Super Mario using Pytorch and PPO
PyTorch application of reinforcement learning Advanced Policy Gradient algorithms in OpenAI BipedalWalker- PPO
A deep reinforcement learning Bot for https://kana.byha.top:444/
This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
PPO, DDPG, SAC implementation on mujoco environment
PyTorch application of reinforcement learning DDPG and PPO algorithms in Unity 3D-Ball
World Models Experiments for Duckietown
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
Clean and flexible implementation of PPO (built on top of stable-baselines3)
Experiments with multiple reinforcement ML algorithms to learn how to beat Street Fighter II
Proximal Policy Optimization (PPO) algorithm for Sonic the Hedgehog
PPO IMPLEMENTATION ON TENSORFLOW
OpenAI's PPO baseline applied to the classic game of Snake
Generative Adversarial Model that generates parse trees
Reinforcement Learning examples
Proximal Policy Optimization with Tensorflow 2.0
World Models Experiments for Duckietown
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