Cover Image

Tool-Augmented Policy Optimization: Synergizing Reasoning and Adaptive Tool Use with Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Wenxun, Li, Yuanyang, Chen, Guhan, Wang, Linyue, Chen, Hongyang
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ComplexMCP: Evaluation of LLM Agents in Dynamic, Interdependent, and Large-Scale Tool Sandbox
by: Li, Yuanyang, et al.
Published: (2026)

Tool-as-Interface: Learning Robot Policies from Observing Human Tool Use
by: Chen, Haonan, et al.
Published: (2025)

AuTAgent: A Reinforcement Learning Framework for Tool-Augmented Audio Reasoning
by: Tong, Siqian, et al.
Published: (2026)

VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
by: Jiang, Dongfu, et al.
Published: (2025)

Controllable and Verifiable Tool-Use Data Synthesis for Agentic Reinforcement Learning
by: Xu, Siyuan, et al.
Published: (2026)

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
by: Feng, Jiazhan, et al.
Published: (2025)

ToolMind Technical Report: A Large-Scale, Reasoning-Enhanced Tool-Use Dataset
by: Yang, Chen, et al.
Published: (2025)

GAP: Graph-Based Agent Planning with Parallel Tool Use and Reinforcement Learning
by: Wu, Jiaqi, et al.
Published: (2025)

Concept Learning for Cooperative Multi-Agent Reinforcement Learning
by: Ge, Zhonghan, et al.
Published: (2025)

Learning When Not to Act: Mitigating Tool Abuse in Agentic Reinforcement Learning
by: Chen, Liuji, et al.
Published: (2026)

From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting
by: Chen, Nuo, et al.
Published: (2023)

Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning
by: Zhu, Yuanyang, et al.
Published: (2024)

Scaling Medical Reasoning Verification via Tool-Integrated Reinforcement Learning
by: Zhang, Hang, et al.
Published: (2026)

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning
by: Dong, Guanting, et al.
Published: (2025)

Reducing Cognitive Overhead in Tool Use via Multi-Small-Agent Reinforcement Learning
by: Wang, Dayu, et al.
Published: (2025)

In-Context Reinforcement Learning for Tool Use in Large Language Models
by: Ye, Yaoqi, et al.
Published: (2026)

Learning How to Use Tools, Not Just When: Pattern-Aware Tool-Integrated Reasoning
by: Xu, Ningning, et al.
Published: (2025)

Guided by Trajectories: Repairing and Rewarding Tool-Use Trajectories for Tool-Integrated Reasoning
by: Gong, Siyu, et al.
Published: (2026)

Case-Based Calibration of Adaptive Reasoning and Execution for LLM Tool Use
by: Pang, Renning, et al.
Published: (2026)

EvoTool: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection
by: Yang, Shuo, et al.
Published: (2026)

UniToolCall: Unifying Tool-Use Representation, Data, and Evaluation for LLM Agents
by: Liang, Yijuan, et al.
Published: (2026)

Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning
by: Singh, Joykirat, et al.
Published: (2025)

DeepTool: Scaling Interleaved Deliberation in Tool-Integrated Reasoning via Process-Supervised Reinforcement Learning
by: He, Yang, et al.
Published: (2026)

FamilyTool: A Multi-hop Personalized Tool Use Benchmark
by: Wang, Yuxin, et al.
Published: (2025)

Multi-Step Reasoning for Embodied Question Answering via Tool Augmentation
by: Zhai, Mingliang, et al.
Published: (2025)

Incentivizing Agentic Reasoning in LLM Judges via Tool-Integrated Reinforcement Learning
by: Xu, Ran, et al.
Published: (2025)

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use
by: Cheng, Yize, et al.
Published: (2026)

FinToolBench: Evaluating LLM Agents for Real-World Financial Tool Use
by: Lu, Jiaxuan, et al.
Published: (2026)

Creative Robot Tool Use by Counterfactual Reasoning
by: Akbulut, M. Tuluhan, et al.
Published: (2026)

MTIR-SQL: Multi-turn Tool-Integrated Reasoning Reinforcement Learning for Text-to-SQL
by: Xu, Zekun, et al.
Published: (2025)

iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use
by: Zeng, Yirong, et al.
Published: (2025)

Learning to Rewrite Tool Descriptions for Reliable LLM-Agent Tool Use
by: Guo, Ruocheng, et al.
Published: (2026)

Tool-Augmented Agent for Closed-loop Optimization,Simulation,and Modeling Orchestration
by: Deng, Liyuan, et al.
Published: (2026)

CharTool: Tool-Integrated Visual Reasoning for Chart Understanding
by: Zhang, Situo, et al.
Published: (2026)

PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific Literature
by: Wang, Daoyu, et al.
Published: (2025)

MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning
by: Guo, Zikang, et al.
Published: (2025)

Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents
by: Li, Zeping, et al.
Published: (2026)

Tools as Continuous Flow for Evolving Agentic Reasoning
by: Huang, Tairan, et al.
Published: (2026)

Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
by: Zhang, Shaokun, et al.
Published: (2025)

Tool-Augmented Hybrid Ensemble Reasoning with Distillation for Bilingual Mathematical Problem Solving
by: Lu, Peiqing, et al.
Published: (2025)