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Distributed artificial intelligence = third International Conference, DAI 2021, Shanghai, China, December 17-18, 2021 : proceedings /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Distributed artificial intelligence/ edited by Jie Chen ... [et al.].
其他題名:
third International Conference, DAI 2021, Shanghai, China, December 17-18, 2021 : proceedings /
其他題名:
DAI 2021
其他作者:
Chen, Jie.
團體作者:
DAI (Conference)
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
viii, 247 p. :ill., digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Distributed artificial intelligence - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-030-94662-3
ISBN:
9783030946623
Distributed artificial intelligence = third International Conference, DAI 2021, Shanghai, China, December 17-18, 2021 : proceedings /
Distributed artificial intelligence
third International Conference, DAI 2021, Shanghai, China, December 17-18, 2021 : proceedings /[electronic resource] :DAI 2021edited by Jie Chen ... [et al.]. - Cham :Springer International Publishing :2022. - viii, 247 p. :ill., digital ;24 cm. - Lecture notes in computer science,131700302-9743 ;. - Lecture notes in computer science ;13170..
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.
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.
ISBN: 9783030946623
Standard No.: 10.1007/978-3-030-94662-3doiSubjects--Topical Terms:
892611
Distributed artificial intelligence
--Congresses.
LC Class. No.: Q337 / .D35 2021
Dewey Class. No.: 006.30285436
Distributed artificial intelligence = third International Conference, DAI 2021, Shanghai, China, December 17-18, 2021 : proceedings /
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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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