proximal-policy-optimization

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

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

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]