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Distributed Artificial Intelligence Third International Conference, DAI 2021, Shanghai, China, December 17-18, 2021, Proceedings
Title
Distributed Artificial Intelligence [electronic resource] : Third International Conference, DAI 2021, Shanghai, China, December 17-18, 2021, Proceedings / edited by Jie Chen, Jérôme Lang, Christopher Amato, Dengji Zhao.
ISBN
9783030946623
Edition
1st ed. 2022.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2022.
Physical Description
1 online resource (VIII, 247 p.) 84 illus., 52 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book constitutes the refereed proceedings of the Third International Conference on Distributed Artificial Intelligence, DAI 2021, held in Shanghai, China, in December 2021. The 15 full papers presented in this book were carefully reviewed and selected from 31 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.
Variant and related titles
Springer ENIN.
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Format
Books / Online
Language
English
Added to Catalog
January 27, 2022
Series
Lecture Notes in Artificial Intelligence ; 13170
Contents
The Power of Signaling and its Intrinsic Connection to the Price of Anarchy
Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning
SEIHAI: A Sample-effcient Hierarchical AI for the MineRL Competition
GC: Multi-Agent Group Belief with Graph Clustering
Incomplete Distributed Constraint Optimization Problems: Model, Algorithms, and Heuristics
Securities Based Decision Markets
MARL for Traffc Signal Control in Scenarios with Different Intersection Importance
Safe Distributional Reinforcement Learning
The Positive Effect of User Faults over Agent Perception in Collaborative Settings and its Use in Agent Design
Behavioral Stable Marriage Problems
FUN-Agent: a HUMAINE Competitor
Signal Instructed Coordination in Cooperative Multi-Agent Reinforcement Learning
A Description of the Jadescript Type System
Combining M-MCTS and Deep Reinforcement Learning for General Game Playing
A Two-Step Method for Dynamics of Abstract Argumentation.
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