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Erschienen in:
2011 | OriginalPaper | Buchkapitel
An Action Selection Method Based on Estimation of Other’s Intention in Time-Varying Multi-agent Environments
verfasst von : Kunikazu Kobayashi, Ryu Kanehira, Takashi Kuremoto, Masanao Obayashi
Erschienen in: Neural Information Processing
Verlag: Springer Berlin Heidelberg
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An action selection method based on the estimation of other’s intention is proposed to treat with time-varying multi-agent environments. Firstly, the estimation level of other’s intention is stratified as active, passive and thoughtful levels. Secondly, three estimation levels are formulated by a policy estimation method. Thirdly, a new action selection method by switching three estimation levels is proposed to cope with time-varying environments. Fourthly, the estimation methods of other’s intention are applied to the Q-learning method. Finally, through computer simulations using pursuit problems, the performance of the estimation methods are investigated. As a result, it is shown that the proposed method can select the appropriate estimation level in time-varying environments.