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An elegant PyTorch deep reinforcement learning library.

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!

The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.

EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL

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.

Implementation of papers in 100 lines of code.

Scalable RL solution for advanced reasoning of language models

[ICLR 2026] SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

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

Latest Advances on System-2 Reasoning

Understanding R1-Zero-Like Training: A Critical Perspective

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

[NeurIPS 2025] TTRL: Test-Time Reinforcement Learning

The Continuous-Improvement Stack for Agents. Our environment data and evals power agent improvement and monitoring.

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Python library for Reinforcement Learning.