Cover Image

A Practitioner's Guide to Multi-turn Agentic Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Ruiyi, Ammanabrolu, Prithviraj
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards
by: Shen, Yiran, et al.
Published: (2025)

HISR: Hindsight Information Modulated Segmental Process Rewards For Multi-turn Agentic Reinforcement Learning
by: Lu, Zhicong, et al.
Published: (2026)

Beyond Needle(s) in the Embodied Haystack: Environment, Architecture, and Training Considerations for Long Context Reasoning
by: Kim, Bosung, et al.
Published: (2025)

Stabilizing Long-term Multi-turn Reinforcement Learning with Gated Rewards
by: Sun, Zetian, et al.
Published: (2025)

How Reasoning Evolves from Post-Training Data: An Empirical Study Using Chess
by: Dionisopoulos, Lucas, et al.
Published: (2026)

Preference-Based Learning in Audio Applications: A Systematic Analysis
by: Broukhim, Aaron, et al.
Published: (2025)

Self-Distilled Agentic Reinforcement Learning
by: Lu, Zhengxi, et al.
Published: (2026)

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain
by: Cheng, Gang, et al.
Published: (2025)

CARL: Criticality-Aware Agentic Reinforcement Learning
by: Shen, Leyang, et al.
Published: (2025)

Agentic Reinforced Policy Optimization
by: Dong, Guanting, et al.
Published: (2025)

Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
by: Wang, Zhaoyang, et al.
Published: (2026)

Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training
by: Chen, Maximillian, et al.
Published: (2024)

Agentic Reinforcement Learning for Real-World Code Repair
by: Zhu, Siyu, et al.
Published: (2025)

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
by: Wang, Xingyao, et al.
Published: (2023)

Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents
by: Wang, Hao, et al.
Published: (2026)

MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
by: Wang, Ziqing, et al.
Published: (2026)

Noise Injection Systemically Degrades Large Language Model Safety Guardrails
by: Shahani, Prithviraj Singh, et al.
Published: (2025)

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents
by: Yang, Rui, et al.
Published: (2026)

TALES: Text Adventure Learning Environment Suite
by: Cui, Christopher Zhang, et al.
Published: (2025)

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

AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
by: Ma, Chang, et al.
Published: (2024)

Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
by: Gao, Zhaolin, et al.
Published: (2024)

Evaluating & Reducing Deceptive Dialogue From Language Models with Multi-turn RL
by: Abdulhai, Marwa, et al.
Published: (2025)

AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning
by: Zhang, Ruiyi, et al.
Published: (2024)

Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
by: Lu, Miao, et al.
Published: (2025)

Stop Listening to Me! How Multi-turn Conversations Can Degrade LLM Reliability
by: Guo, Kevin H., et al.
Published: (2026)

An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide
by: Fagbohun, Oluwole, et al.
Published: (2024)

Offline Reinforcement Learning for LLM Multi-Step Reasoning
by: Wang, Huaijie, et al.
Published: (2024)

Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards
by: Li, Ming, et al.
Published: (2025)

Re2: A Consistency-ensured Dataset for Full-stage Peer Review and Multi-turn Rebuttal Discussions
by: Zhang, Daoze, et al.
Published: (2025)

Learning from Failures in Multi-Attempt Reinforcement Learning
by: Chung, Stephen, et al.
Published: (2025)

AttriLens-Mol: Attribute Guided Reinforcement Learning for Molecular Property Prediction with Large Language Models
by: Lin, Xuan, et al.
Published: (2025)

StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to Reason
by: Zhang, Kaiyi, et al.
Published: (2025)

Reinforcement Learning for Diffusion LLMs with Entropy-Guided Step Selection and Stepwise Advantages
by: Kunde, Vishnu Teja, et al.
Published: (2026)

ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction
by: Zeng, Xingshan, et al.
Published: (2025)

DreamPRM-Code: Function-as-Step Process Reward Model with Label Correction for LLM Coding
by: Zhang, Ruiyi, et al.
Published: (2025)

Multi-Dimensional Behavioral Evaluation of Agentic Stock Prediction Systems Using Large Language Model Judges with Closed-Loop Reinforcement Learning Feedback
by: Ridhawi, Mohammad Al, et al.
Published: (2026)

RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
by: Wang, Zihan, et al.
Published: (2025)

Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Reinforcement Learning
by: Fei, Wu, et al.
Published: (2025)

Empowering Multi-Turn Tool-Integrated Agentic Reasoning with Group Turn Policy Optimization
by: Ding, Yifeng, et al.
Published: (2025)