19 open-source projects similar to chenluye99/prof, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best PROF alternative.
🚀 Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models 🌟
2025/10/23 🔥🔥Our paper is accepted by NeurIPS 2025.🔥🔥 - 2025/04/22 Released our Paper on arXiv. See here - 2025/03/24 We re-implement our algorithm based on verl. ✨✨ Key features: (1) add ~50 additional metrics to comprehensively monitor the training process and stability, (2) add a…
This repository contains the code for our paper titled "Optimizing Test-Time Compute via Meta Reinforcement Finetuning." In this work, we introduce a novel approach to optimizing test-time compute through meta reinforcement learning, aiming to balance the efficiency and discovery capabilities of…
🔧✨Tool-Star: Empowering Multi-Tool Collaborative Web Agent via Reinforcement Learning
Princeton University \& PKU \& UIUC \& University of Chicago \& ByteDance Seed
December 5, 2025 🔍 We propose entropy ratio clipping (ERC) to impose a global constraint on the output distribution of the policy model. Experiments demonstrate that ERC can significantly improve the stability of off-policy training. 📄 The paper is available on arXiv.
Paper - Abstract - Updates - Quick Start - Installation - Download the datasets - Create Experiment Script - Single GPU Training (Only for Rho models) - Running the experiments - Code Structure - Initial SFT Checkpoints - Acknowledgement - Citation
This is the official implementation of TreePO algorithm.
This repository accompanies the paper Let's Verify Step by Step and presents the PRM800K dataset introduced there. PRM800K is a process supervision dataset containing 800,000 step-level correctness labels for model-generated solutions to problems from the MATH dataset. More information on…
✨ Getting Started • 📖 Introduction 🔧 Usage • 📃 Evaluation • 🎈 Citation • 🌻 Acknowledgement • 📈 Star History
ICLR 2026 Agentic Reinforced Policy Optimization (ARPO)
👋 Hi, everyone! verl is a RL training library initiated by ByteDance Seed team and maintained by the verl community.
Implementation for ACL'25 paper TreeRL: LLM Reinforcement Learning with On-Policy Tree Search. The implementation is based on OpenRLHF
```bash conda create -n rllm python=3.10 -y conda activate rllm
StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization