QwenQKing/Prompt-R1

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

Democratizing Reinforcement Learning for LLMs

Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL

An Automatic Prompt Optimization Framework for Large Language Models

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

A library for prompt engineering and optimization (SAMMO = Structure-aware Multi-Objective Metaprompt Optimization)

[Neurips 2026] Official repository for the paper "Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models"

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning

Automatic Prompt Optimization Framework