Distributed artificial intelligence : second international conference, DAI 2020, Nanjing, China, October 24-27, 2020, proceedings / Matthew E. Taylor, Yang Yu, Edith Elkind, Yang Gao (eds.).
International Conference on Distributed Artificial Intelligence (2nd : 2020 : Online); Taylor, Matthew E., editor.; Yu, Yang, editor.; Elkind, Edith, 1976- editor.; Gao, Yang, editor.
2020
Q337
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Title Distributed artificial intelligence : second international conference, DAI 2020, Nanjing, China, October 24-27, 2020, proceedings / Matthew E. Taylor, Yang Yu, Edith Elkind, Yang Gao (eds.).
Meeting Name International Conference on Distributed Artificial Intelligence (2nd : 2020 : Online)
ISBN 9783030640965 (electronic book)
3030640965 (electronic book)
9783030640958
DOI https://doi.org/10.1007/978-3-030-64096-5
Published Cham : Springer, [2020]
Language English
Description 1 online resource (149 pages).
Item Number 10.1007/978-3-030-64096-5 doi
Call Number Q337
Dewey Decimal Classification 006.30285/436
Summary This book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intelligence, DAI 2020, held in Nanjing, China, in October 2020. The 9 full papers presented in this book were carefully reviewed and selected from 22 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. Due to the Corona pandemic this event was held virtually.
Note International conference proceedings.
Includes author index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Description based on print version record.
Added Author Taylor, Matthew E., editor.
Yu, Yang, editor.
Elkind, Edith, 1976- editor.
Gao, Yang, editor.
Series Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 12547.
Available in Other Form Distributed Artificial Intelligence : Second International Conference, DAI 2020, Nanjing, China, October 24-27, 2020, Proceedings
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Parallel Algorithm for Nash Equilibrium in Multiplayer Stochastic Games with Application to Naval Strategic Planning
LAC-Nav: Collision-Free Multiagent Navigation Based on The Local ActionCells
MGHRL: Meta Goal-generation for Hierarchical Reinforcement Learning
D3PG: Decomposed Deep Deterministic Policy Gradient for Continuous Control
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control
Hybrid Independent Learning in Cooperative Markov Games
Efficient Exploration By Novelty-Pursuit
Context-aware Multi-Agent Coordination with Loose Couplings and Repeated Interaction
Battery Management for Automated Warehouses via Deep Reinforcement Learning.

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