Distributed artificial intelligence 4th International Conference, DAI 2022, Tianjin, China, December 15-17, 2022 : proceedings
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 Inf...
Gespeichert in:
| Körperschaft: | |
|---|---|
| Weitere Verfasser: | , , , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Cham
Springer
2023
|
| Schriftenreihe: | Lecture notes in computer science
13824 |
| Schlagworte: |
Artificial intelligence
> COMPUTERS / Artificial Intelligence
> COMPUTERS / Data Processing / General
> COMPUTERS / Networking / General
> COMPUTERS / Social Aspects / Human-Computer Interaction
> Computer networking & communications
> Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften
> Computerhardware
> Information technology: general issues
> Informationstechnik (IT), allgemeine Themen
> Künstliche Intelligenz
> Mathematical theory of computation
> Mathematik für Informatiker
> Konferenzschrift
> Soziales Netzwerk
> Bestärkendes Lernen
> Mehragentensystem
> Verteiltes System
|
| Online Zugang: | Cover Inhaltsverzeichnis |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Tag hinzufügen 
| Zusammenfassung: | 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. 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 |
|---|---|
| Beschreibung: | Literaturangaben |
| Beschreibung: | viii, 102 Seiten Diagramme |
| ISBN: | 9783031255489 978-3-031-25548-9 |