modelscope/AgentJet

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!

Democratizing Reinforcement Learning for LLMs

Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tuning (RFT) of large language models (LLM).

Fine-tune LLM agents with online reinforcement learning

RL-training an AI agent to RL-train AI agents.

Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning

SkyRL: A Modular Full-stack RL Library for LLMs

Train your Agent model via our easy and efficient framework

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)