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π Hi, everyone! verl is a RL training library initiated by ByteDance Seed team and maintained by the verl community.
The main features of ryanliu112/attnrl are: Dense Reward Optimization.
Open-source alternatives to ryanliu112/attnrl include: amap-ml/tree-grpo β Tree Search for LLM Agent Reinforcement Learning. chenluye99/prof β Introduction. cjreinforce/pure β [2025/10/23] π₯π₯Our paper is accepted by NeurIPS 2025.π₯π₯ - [2025/04/22] Released our Paper on arXiv. See here -β¦ cmu-aire/mrt β This repository contains the code for our paper titled "Optimizing Test-Time Compute via Meta Reinforcementβ¦ dongguanting/tool-star β π§β¨Tool-Star: Empowering Multi-Tool Collaborative Web Agent via Reinforcement Learning. aiframeresearch/spo β π Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models π.
2025/10/23 π₯π₯Our paper is accepted by NeurIPS 2025.π₯π₯ - 2025/04/22 Released our Paper on arXiv. See here - 2025/03/24 We re-implement our algorithm based on verl. β¨β¨ Key features: (1) add ~50 additional metrics to comprehensively monitor the training process and stability, (2) add aβ¦
π Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models π
