Clean and flexible implementation of PPO (built on top of stable-baselines3)

Proximal Policy Optimization using Pytorch and the Unity Reacher environment.

Training a PPO agent to play chess with pretraining and self-learning using PyTorch Lightning and TorchRL

Experiments with multiple reinforcement ML algorithms to learn how to beat Street Fighter II

Reinforcement Learning examples

PPO IMPLEMENTATION ON TENSORFLOW

A deep reinforcement learning Bot for https://kana.byha.top:444/

Teaching a neural network how to write letters and digits with reinforcement learning.

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

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