Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Proximal Policy Optimization (PPO) algorithm for Contra

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.

Proximal Policy Optimization with Tensorflow 2.0

Proximal Policy Optimization (PPO) algorithm for Sonic the Hedgehog

Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.

OpenAI's PPO baseline applied to the classic game of Snake

Generative Adversarial Model that generates parse trees

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

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

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

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

Proximal Policy Optimization using Pytorch and the Unity Reacher environment.

PPO IMPLEMENTATION ON TENSORFLOW

Reinforcement Learning in Super Mario using Pytorch and PPO

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

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