Distributed artificial intelligence : 4th international conference, DAI 2022, Tianjin, China, December 15-17, 2022, proceedings / / Makoto Yokoo [and three others], editors

• Pubblicazione: Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023]; ©2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (112 pages)
• Disciplina: 006.30285436
• Soggetto topico: Distributed artificial intelligence
• Persona (resp. second.): YokooMakoto
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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. .
• Titolo autorizzato: Distributed artificial intelligence
• ISBN: 3-031-25549-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996517753403316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Artificial Intelligence, . 2945-9141 ; ; 13824