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

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

A scalable, agentic-first, and HuggingFace-native RL framework for research (9k lines).

Extend OpenRLHF to support LMM RL training for reproduction of DeepSeek-R1 on multimodal tasks.

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

[ICLR 2026] A Framework for LLM-based Multi-Agent Reinforced Training and Inference