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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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.
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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.
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Produktdetaljer

ISBN
9783031255489
Publisert
2023-03-22
Utgiver
Vendor
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet