Distributed Artificial Intelligence: 4th International Conference, DAI 2022, Tianjin, China, December 15-17, 2022, Proceedings

by Makoto Yokoo (Editor), Hong Qiao (Editor), Yevgeniy Vorobeychik (Editor), Jianye Hao (Editor)

Overview

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.

Product Details

ISBN-13:	9783031255489
Publisher:	Springer Nature Switzerland
Publication date:	03/21/2023
Series:	Lecture Notes in Computer Science , #13824
Edition description:	1st ed. 2023
Pages:	103
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of 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.