Data & IT
Pocket
A Concise Introduction to Decentralized POMDPs
Frans A Oliehoek • Christopher Amato
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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.
- Illustratör: Bibliographie
- Format: Pocket/Paperback
- ISBN: 9783319289274
- Språk: Engelska
- Antal sidor: 134
- Utgivningsdatum: 2016-06-14
- Förlag: Springer International Publishing AG