NVIDIA-NeMo/RL

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

An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models

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

Train transformer language models with reinforcement learning.

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

Democratizing Reinforcement Learning for LLMs

Agentic RL Training at Scale

A Lightweight LLM Post-Training Library

Post-training with Tinker