Modeling Human Adaptation in Repeated Collaborative Tasks

S. Nikolaidis, S. Srinivasa
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Abstract

This short paper summarizes a game-theoretic model of human partial adaptation to the robot. We model the human as following a best-response strategy to the robot action, based on theor own, possibly distorted, reward function. The model allows the robot to take informative actions, in order to teach the human its capabilities.
重复协作任务中人类适应的建模
本文总结了人类部分适应机器人的博弈论模型。我们将人类建模为遵循机器人行为的最佳反应策略,这是基于我们自己的,可能是扭曲的奖励功能。该模型允许机器人采取信息行动,以教会人类它的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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