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A CONCISE INTRODUCTION TO DECENTRALIZED POMDPS IBD

SPRINGER
06 / 2016
9783319289274
Inglés

Sinopsis

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.á

PVP
86,63