A concise introduction to decentralized POMDPs / Frans A. Oliehoek, Christopher Amato.
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: re...
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| Main Authors: | , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Switzerland :
Springer,
2016.
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| Series: | SpringerBriefs in intelligent systems. Artificial intelligence, multiagent systems, and cognitive robotics.
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| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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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| Physical Description: | 1 online resource (xx, 134 pages) : illustrations (some colour). |
| Bibliography: | Includes bibliographical references. |
| ISSN: | 2196-548X |