Matthew E. Taylor,
Yang Yu,
Edith Elkind,
Yang Gao
e.a.
Springer International Publishing
e druk, 2020
9783030640958
Distributed Artificial Intelligence
Second International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceedings
Specificaties
Paperback, blz.
|
Engels
Springer International Publishing |
2020
ISBN13: 9783030640958
Rubricering
Onderdeel van serie
Lecture Notes in Computer Science
Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9783030640958
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing
Inhoudsopgave
<p>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.</p>