Cover Image

Reinforcement World Model Learning for LLM-based Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Xiao, Peng, Baolin, Xu, Ruize, Shen, Yelong, He, Pengcheng, Nath, Suman, Singh, Nikhil, Gao, Jiangfeng, Yu, Zhou
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents
by: Yu, Xiao, et al.
Published: (2025)

Dyna-Mind: Learning to Simulate from Experience for Better AI Agents
by: Yu, Xiao, et al.
Published: (2025)

Orchard: An Open-Source Agentic Modeling Framework
by: Peng, Baolin, et al.
Published: (2026)

Teaching Language Models to Self-Improve through Interactive Demonstrations
by: Yu, Xiao, et al.
Published: (2023)

The Tool Illusion: Rethinking Tool Use in Web Agents
by: Lou, Renze, et al.
Published: (2026)

ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
by: Yu, Xiao, et al.
Published: (2024)

Reinforcement Learning for Reasoning in Large Language Models with One Training Example
by: Wang, Yiping, et al.
Published: (2025)

Latent Recurrent Transformer: Architecture Exploration, Training Strategies, and Scaling Behavior
by: Huang, Zeyi, et al.
Published: (2026)

ConFit v3: Improving Resume-Job Matching with LLM-based Re-Ranking
by: Yu, Xiao, et al.
Published: (2026)

Collaborate, Deliberate, Evaluate: How LLM Alignment Affects Coordinated Multi-Agent Outcomes
by: Nath, Abhijnan, et al.
Published: (2025)

Adapting LLM Agents with Universal Feedback in Communication
by: Wang, Kuan, et al.
Published: (2023)

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
by: Liang, Xiao, et al.
Published: (2025)

ConFit v2: Improving Resume-Job Matching using Hypothetical Resume Embedding and Runner-Up Hard-Negative Mining
by: Yu, Xiao, et al.
Published: (2025)

WebXSkill: Skill Learning for Autonomous Web Agents
by: Wang, Zhaoyang, et al.
Published: (2026)

ThetaEvolve: Test-time Learning on Open Problems
by: Wang, Yiping, et al.
Published: (2025)

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models
by: Nath, Vaskar, et al.
Published: (2025)

Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math
by: Xu, Haoran, et al.
Published: (2025)

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

CRAFT: Grounded Multi-Agent Coordination Under Partial Information
by: Nath, Abhijnan, et al.
Published: (2026)

Diagnosing Training Inference Mismatch in LLM Reinforcement Learning
by: Zhong, Tianle, et al.
Published: (2026)

Frictional Agent Alignment Framework: Slow Down and Don't Break Things
by: Nath, Abhijnan, et al.
Published: (2025)

SIaM: Self-Improving Code-Assisted Mathematical Reasoning of Large Language Models
by: Yu, Dian, et al.
Published: (2024)

Conceptual and Unbiased Reasoning in Language Models
by: Zhou, Ben, et al.
Published: (2024)

Evil Geniuses: Delving into the Safety of LLM-based Agents
by: Tian, Yu, et al.
Published: (2023)

OmniParser for Pure Vision Based GUI Agent
by: Lu, Yadong, et al.
Published: (2024)

EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning
by: Xu, Wujiang, et al.
Published: (2025)

Real-World Doctor Agent with Proactive Consultation through Multi-Agent Reinforcement Learning
by: Feng, Yichun, et al.
Published: (2025)

DPEPO: Diverse Parallel Exploration Policy Optimization for LLM-based Agents
by: Zhang, Junshuo, et al.
Published: (2026)

Robust LLM Watermarking with Minimal Semantic Distortion for IP Protection
by: Dang, Kieu, et al.
Published: (2026)

AgentHallu: Benchmarking Automated Hallucination Attribution of LLM-based Agents
by: Liu, Xuannan, et al.
Published: (2026)

Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
by: Nath, Abhijnan, et al.
Published: (2024)

ExperienceWeaver: Optimizing Small-sample Experience Learning for LLM-based Clinical Text Improvement
by: Xiao, Ziyan, et al.
Published: (2026)

Code-A1: Adversarial Evolving of Code LLM and Test LLM via Reinforcement Learning
by: Wang, Aozhe, et al.
Published: (2026)

WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
by: Qi, Zehan, et al.
Published: (2024)

BOW: Reinforcement Learning for Bottlenecked Next Word Prediction
by: Shen, Ming, et al.
Published: (2025)

Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models
by: Li, Miaoran, et al.
Published: (2023)

LiteSearch: Efficacious Tree Search for LLM
by: Wang, Ante, et al.
Published: (2024)

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

AI Agents for Web Testing: A Case Study in the Wild
by: Ye, Naimeng, et al.
Published: (2025)

Reinforcement Learning-based Knowledge Distillation with LLM-as-a-Judge
by: Shen, Yiyang, et al.
Published: (2026)