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New research formalizes agent search space improvement via user interaction

By PulseAugur Editorial · [1 sources] ·

A new research paper introduces the ReSHAPE task, a formalization for how planning agents can improve their search spaces by interacting with users. The study found that by presenting users with concrete plans and their trade-offs, agents can significantly increase the likelihood of finding acceptable solutions, up to 4.6 times more often. Current agents often fail to admit a large percentage of acceptable plans because they query preferences rather than displaying options, highlighting a critical area for improvement in agent design. AI

IMPACT Agents can find acceptable plans more effectively by showing users concrete options and trade-offs, improving user satisfaction and task completion.

RANK_REASON Research paper detailing a new formalization and experimental analysis of agent planning. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New research formalizes agent search space improvement via user interaction

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Research paper detailing a new formalization and experimental analysis of agent planning. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yilin Zhang, Xinran Zhao, Tong Chen, Ziming Yuan, Tongshuang Wu ·

    How Should Planning Agents ReSHAPE Their Search Space?

    arXiv:2611.16466v1 Announce Type: new Abstract: Planning agents and benchmarks treat a user's initial specification as fixed. Yet the requests users write exclude plans they would gladly take, since they rarely discover the possible trade-offs they would accept until seeing the o…

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