Details

Subject(s)

• Distributed artificial intelligence—Congresses [Browse]

Editor

• Yokoo, Makoto [Browse]

Series

• Lecture Notes in Artificial Intelligence, 13824 [More in this series]
• Lecture Notes in Artificial Intelligence, 2945-9141 ; 13824 [More in this series]

Summary note

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. .

Bibliographic references

Includes bibliographical references and index.

Source of description

Description based on print version record.

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.

Show 2 more Contents items

ISBN

3-031-25549-6

OCLC

1373987520

Doi

• 10.1007/978-3-031-25549-6

Statement on language in description

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