Distributed Artificial Intelligence: 4th International Conference, DAI 2022, Tianjin, China, December...

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Makoto Yokoo Hong Qiao

Distributed Artificial Intelligence

4th International Conference, DAI 2022, Tianjin, China, December 15–17, 2022, Proceedings

Makoto Yokoo, Hong Qiao, Yevgeniy Vorobeychik , Jianye Hao

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English

Springer International Publishing AG
22 March 2023

Social research & statistics; Computing: general; Computer hardware; Maths for computer scientists; Artificial intelligence

Series: Lecture Notes in Computer Science

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.

Edited by: Makoto Yokoo, Hong Qiao, Yevgeniy Vorobeychik, Jianye Hao
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 1st ed. 2023
Volume: 13824
Dimensions: Height: 235mm, Width: 155mm,
Weight: 191g
ISBN: 9783031255489
ISBN 10: 3031255488
Series: Lecture Notes in Computer Science
Pages: 103
Publication Date: 22 March 2023
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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.