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Distributed artificial intelligence ...

International Conference on Distributed Artificial Intelligence (2022 :)

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Distributed artificial intelligence = 4th International conference, DAI 2022, Tianjin, China, December 15-17, 2022 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Distributed artificial intelligence/ edited by Makoto Yokoo ... [et al.].
其他題名:	4th International conference, DAI 2022, Tianjin, China, December 15-17, 2022 : proceedings /
其他題名:	DAI 2022
其他作者:	Yokoo, Makoto.
團體作者:	International Conference on Distributed Artificial Intelligence
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	ix, 103 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	A Distributed RBF-Assisted Differential Evolution for Distributed Expensive Constrained Optimization -- A Flexi Partner Selection Model for the Emergence of Cooperation in N-person Social Dilemmas -- Efficient Deep Reinforcement Learning via Policy-extended Successor Feature Approximator -- Maximal Information Propagation with Limited Resources -- Optimistic Exploration based on Categorical-DQN for Cooperative Markov games.
Contained By:	Springer Nature eBook
標題:	Distributed artificial intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-25549-6
ISBN:	9783031255496

Distributed artificial intelligence = 4th International conference, DAI 2022, Tianjin, China, December 15-17, 2022 : proceedings /
Distributed artificial intelligence4th International conference, DAI 2022, Tianjin, China, December 15-17, 2022 : proceedings /[electronic resource] :DAI 2022edited by Makoto Yokoo ... [et al.]. - Cham :Springer Nature Switzerland :2023. - ix, 103 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in computer science,138241611-3349 ;. - Lecture notes in computer science ;13824..

A Distributed RBF-Assisted Differential Evolution for Distributed Expensive Constrained Optimization -- A Flexi Partner Selection Model for the Emergence of Cooperation in N-person Social Dilemmas -- Efficient Deep Reinforcement Learning via Policy-extended Successor Feature Approximator -- Maximal Information Propagation with Limited Resources -- Optimistic Exploration based on Categorical-DQN for Cooperative Markov games.

This book constitutes the refereed proceedings of the 4th International Conference on Distributed Artificial Intelligence, DAI 2022, held in Tianjin, China, in December 2022. The 5 full papers presented in this book were carefully reviewed and selected from 12 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI.

ISBN: 9783031255496

Standard No.: 10.1007/978-3-031-25549-6doiSubjects--Topical Terms:

892611
Distributed artificial intelligence
--Congresses.

LC Class. No.: Q337

Dewey Class. No.: 006.30285436

Distributed artificial intelligence = 4th International conference, DAI 2022, Tianjin, China, December 15-17, 2022 : proceedings /
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