A Concise Introduction to Decentralized POMDPs
| By: | Frans A. Oliehoek; Christopher Amato |
| Publisher: | Springer Nature |
| Print ISBN: | 9783319289274 |
| eText ISBN: | 9783319289298 |
| Edition: | 0 |
| Copyright: | 2016 |
| Format: | Page Fidelity |
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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.