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An elegant PyTorch deep reinforcement learning library.

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

MuZero

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

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, Kimi, and more!

Distributed RL System for LLM Reasoning

Scalable RL solution for advanced reasoning of language models

Implementation of papers in 100 lines of code.

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Latest Advances on System-2 Reasoning

Understanding R1-Zero-Like Training: A Critical Perspective

Python library for Reinforcement Learning.

Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab

TTRL: Test-Time Reinforcement Learning