Yokoo / Qiao / Vorobeychik Distributed Artificial Intelligence

4th International Conference, DAI 2022, Tianjin, China, December 15–17, 2022, Proceedings
1. Auflage 2023
ISBN: 978-3-031-25549-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 13824, 103 Seiten, eBook

Reihe: 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.

Zielgruppe

Research

Autoren/Hrsg.

Yokoo, Makoto

Qiao, Hong

Vorobeychik, Yevgeniy

Hao, Jianye

Inhaltsverzeichnis

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.