Democratizing Reinforcement Learning for LLMs

A Framework for LLM-based Multi-Agent Reinforced Training and Inference

Official implementation of GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization

Official repository for "RLVR-World: Training World Models with Reinforcement Learning" (NeurIPS 2025), https://arxiv.org/abs/2505.13934

Revisiting Mid-training in the Era of Reinforcement Learning Scaling

Official repository of DARE: dLLM Alignment and Reinforcement Executor

[arxiv: 2512.19673] Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies

超简单复现Deepseek-R1-Zero和Deepseek-R1，以「24点游戏」为例。通过zero-RL、SFT以及SFT+RL，以激发LLM的自主验证反思能力。 About Clean, minimal, accessible reproduction of DeepSeek R1-Zero, DeepSeek R1

qwen3-base family of models RL on gsm8k using verl, is there an RL power law on downstream tasks?

Long COT RFT and Reinforcement Learning Creates Generalize

Using automated curriculum learning to enhance LLM's RL training process.

A list of uv environments templates for LLM development.

PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory

Sample for Fine-Tuning LLMs & VLMs

RLVεR: Reinforcement Learning with Verifiable Noisy Rewards

Training Script using VeRL for multi-turn GPRO w/ MCP tool-calling

Fork of VeRL to support Turing Family of GPUs

🌐 Streamline LLM development with ready-to-use environment templates for efficient setup and deployment.