Buch, Englisch, 247 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 394 g
Third International Conference, DAI 2021, Shanghai, China, December 17-18, 2021, Proceedings
Buch, Englisch, 247 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 394 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-030-94661-6
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.
