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dongguanting/ARPO-SFT-54K

Agentic Reinforced Policy Optimization (ARPO) Dataset This repository contains the datasets associated with the paper Agentic Reinforced Policy Optimization (ARPO). ARPO proposes a novel agentic Reinforcement Learning algorithm designed for training multi-turn Large Language Model (LLM)-based agents. It addresses the challenge of balancing intrinsic long-horizon reasoning capabilities with proficiency in multi-turn tool interactions, particularly noting the increased uncertainty… See the full description on the dataset page: https://huggingface.co/datasets/dongguanting/ARPO-SFT-54K.

Author / organizationdongguanting
License (as declared)mit
Downloads137 (as reported by Hugging Face)
Likes15
Created24 July 2025
Last updated at source17 October 2025
reinforcement-learningagentsllmtool-usereasoning
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  • 16 Oct 2026 Description: Agentic Reinforced Policy Optimization (ARPO) Dataset This repository contains the datasets associated with the paper Agentic Reinforced Policy Optimization (ARPO). ARPO proposes a novel agentic Reinforcement Learning algorithm designed for → Agentic Reinforced Policy Optimization (ARPO) Dataset This repository contains the datasets associated with the paper Agentic Reinforced Policy Optimization (ARPO). ARPO proposes a novel agentic Reinforcement Learning algorithm designed for

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