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A Concise Introduction to Decentralized POMDPs

Specificaties
Paperback, blz. | Engels
Springer International Publishing | e druk, 2016
ISBN13: 9783319289274
Rubricering
Springer International Publishing e druk, 2016 9783319289274
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs). The intended audience is researchers and graduate students working in the fields of artificial intelligence related to sequential decision making: reinforcement learning, decision-theoretic planning for single agents, classical multiagent planning, decentralized control, and operations research. 

Specificaties

ISBN13:9783319289274
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing

Inhoudsopgave

Multiagent Systems Under Uncertainty.- The Decentralized POMDP Framework.- Finite-Horizon Dec-POMDPs.- Exact Finite-Horizon Planning Methods.- Approximate and Heuristic Finite-Horizon Planning Methods.- Infinite-Horizon Dec-POMDPs.- Infinite-Horizon Planning Methods: Discounted Cumulative Reward.- Infinite-Horizon Planning Methods: Average Reward.- Further Topics.

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        A Concise Introduction to Decentralized POMDPs