XiaomiMiMo/verl

verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

An LLM post-training framework with vLLM for RL Scaling

Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.

Democratizing Reinforcement Learning for LLMs

slime is an LLM post-training framework for RL Scaling.

Scalable toolkit for efficient model reinforcement

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

An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale