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A Concise Introduction to Decentralized POMDPs

A Concise Introduction to Decentralized POMDPs

Brand
Springer Nature
Manufacturer
N/A
Part Number
0
GTIN
9783319289274
Condition
New
Product Description

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.

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