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Distributed Artificial Intelligence [electronic resource] : 4th International Conference, DAI 2022, Tianjin, China, December 15-17, 2022, Proceedings / edited by Makoto Yokoo, Hong Qiao, Yevgeniy Vorobeychik, Jianye Hao.

Contributor(s): Yokoo, Makoto [editor.] | Qiao, Hong [editor.] | Vorobeychik, Yevgeniy [editor.] | Hao, Jianye [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 13824Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023.Description: IX, 103 p. 34 illus., 28 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031255496.Subject(s): Artificial intelligence | Computer science -- Mathematics | Computers | Social sciences -- Data processing | Computer engineering | Computer networks  | Artificial Intelligence | Mathematics of Computing | Computing Milieux | Computer Application in Social and Behavioral Sciences | Computer Engineering and NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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. .
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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. .

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