cs.AI updates on arXiv.org 07月30日 12:11
"Teammates, Am I Clear?": Analysing Legible Behaviours in Teams
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本文探讨了团队决策中的可读性概念,提出将其扩展至多智能体环境,以提升协作性能,并通过多智能体基准场景展示其优于标准最优行为的团队表现。

arXiv:2507.21631v1 Announce Type: new Abstract: In this paper we investigate the notion of legibility in sequential decision-making in the context of teams and teamwork. There have been works that extend the notion of legibility to sequential decision making, for deterministic and for stochastic scenarios. However, these works focus on one agent interacting with one human, foregoing the benefits of having legible decision making in teams of agents or in team configurations with humans. In this work we propose an extension of legible decision-making to multi-agent settings that improves the performance of agents working in collaboration. We showcase the performance of legible decision making in team scenarios using our proposed extension in multi-agent benchmark scenarios. We show that a team with a legible agent is able to outperform a team composed solely of agents with standard optimal behaviour.

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团队决策 可读性 多智能体
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