mll-lab-nu/VAGEN

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

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

Multimodal Retrieval-augmented Generation Framework Built by Tongyi Lab, Alibaba Group.

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

UniRL is a Framework for Unified Multimodal Model Reinforcement Learning

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

Multimodal RL training framework for diffusion & omni models

📖 This is a repository for organizing papers, codes and other resources related to Visual Reinforcement Learning.

An LLM post-training framework with vLLM for RL Scaling