reinforcement-learning

🤖 Machine Learning Summer School Guide

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Deep Learning and deep reinforcement learning research papers and some codes

Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research

A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Implementation of papers in 100 lines of code.

MuZero

Simple and comprehensive tutorials in TensorFlow

A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups.

Agent RL framework for LLM agents: multi-turn reinforcement learning with StarPO and reasoning-collapse diagnostics

Monte Carlo tree search in JAX

PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our paper "Deep Learning to Rank in Industrial Search Engines, Recommender Systems, and Online Advertising - An Overview and New Perspectives" (TOIS 2026).

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Awesome Reasoning LLM Tutorial/Survey/Guide

Solutions of Reinforcement Learning, An Introduction

A modular RL library to fine-tune language models to human preferences

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

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

ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.

ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning

Deep Reinforcement Learning: Zero to Hero!

A lightweight suite of motion imitation methods for training controllers.

verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

[RSS 2025] "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills"

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

Reinforcement Learning environments based on the 1993 game Doom :godmode: