rl

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

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

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.

A Survey of Reinforcement Learning for Large Reasoning Models

Implementation of all RL algorithms in a simpler way

Scalable RL solution for advanced reasoning of language models

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

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

Tensorlake is a serverless runtime for sandboxes and deploying background agentic applications

AI-Native Risk Intelligence Systems, OpenDeRisk——Your application system risk intelligent manager provides 7* 24-hour comprehensive and in-depth protection.

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

A universal flight control tuning framework

Agentic RAG R1 Framework via Reinforcement Learning

[NeurIPS 2025] Flow x RL. "ReinFlow: Fine-tuning Flow Policy with Online Reinforcement Learning". Support VLAs e.g., Pi0, Pi0.5, GR00TN1.5. Fully open-sourced.