Proximal Policy Optimization using Pytorch and the Unity Reacher environment.
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Updated
May 14, 2019 - Python
Proximal Policy Optimization using Pytorch and the Unity Reacher environment.
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
Reinforcement Learning examples
PPO IMPLEMENTATION ON TENSORFLOW
Reinforcement Learning in Super Mario using Pytorch and PPO
PyTorch application of reinforcement learning Advanced Policy Gradient algorithms in OpenAI BipedalWalker- PPO
PyTorch application of reinforcement learning DDPG and PPO algorithms in Unity 3D-Ball
A deep reinforcement learning Bot for https://kana.byha.top:444/
Teaching a neural network how to write letters and digits with reinforcement learning.
OpenAI's PPO baseline applied to the classic game of Snake
Generative Adversarial Model that generates parse trees
World Models Experiments for Duckietown
World Models Experiments for Duckietown
Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.
Proximal Policy Optimization (PPO) algorithm for Sonic the Hedgehog
Proximal Policy Optimization with Tensorflow 2.0
PPO, DDPG, SAC implementation on mujoco environment
This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
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