Popular GitHub Repositories for Proximal Policy Optimization

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

PyTorch C++ Reinforcement Learning

Trading Environment(OpenAI Gym) + PPO(TensorForce)

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Clean baseline implementation of PPO using an episodic TransformerXL memory

Baseline implementation of recurrent PPO using truncated BPTT

Curiosity-driven Exploration by Self-supervised Prediction

Proximal Policy Optimization (PPO) algorithm for Contra

Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)

Implementing reinforcement-learning algorithms for pysc2 -environment

Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.

This repository contains an application using ROS2 Humble, Gazebo, OpenAI Gym and Stable Baselines3 to train reinforcement learning agents for a path planning problem.

This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).

Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights on all environments.

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

Implementation of a Deep Reinforcement Learning algorithm, Proximal Policy Optimization (SOTA), on a continuous action space openai gym (Box2D/Car Racing v0)

It's the pytorch implementation of google research football.