tool use 2benchmark evaluation 1credit assignment 1dense rewards 1design principles 1empirical study 1long-horizon agents 1temporal-difference learning 1web agents 1
From the 2 of 14 linked papers with an AI index.
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cs.CL2026
The Tool Illusion: Rethinking Tool Use in Web Agents
Renze Lou, Baolin Peng, Wenlin Yao +5
The paper presents a large, controlled empirical study of tool use in web agents, examining how different tools, backbone models, and frameworks affect performance across multiple…
cs.CL2026★ 1 cited
Reinforcement World Model Learning for LLM-based Agents
Xiao Yu, Baolin Peng, Ruize Xu +6
Large language models (LLMs) have achieved strong performance in language-centric tasks. However, in agentic settings, LLMs often struggle to anticipate action consequences and ada…