ppo

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

An elegant PyTorch deep reinforcement learning library.

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Repo for the Deep Reinforcement Learning Nanodegree program

Massively Parallel Deep Reinforcement Learning. 🔥

🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.

FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading

Modularized Implementation of Deep RL Algorithms in PyTorch

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

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

This is the official implementation of Multi-Agent PPO (MAPPO).

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

Training a humanoid robot for locomotion using Reinforcement Learning

Really Fast End-to-End Jax RL Implementations

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).

RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

🌾 OAT: A research-friendly framework for LLM online alignment, including reinforcement learning, preference learning, etc.

A PyTorch library for building deep reinforcement learning agents.

RLAnything (ICML 2026) & AutoTool (ICML 2026), DemyAgent: Open-Source RL for LLMs and Agentic Scenarios

Easy and Efficient Finetuning LLMs. (Supported LLama, LLama2, LLama3, Qwen, Baichuan, GLM , Falcon) 大模型高效量化训练+部署.

A curated list of papers on reinforcement learning for video generation

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