A Concise Introduction to Decentralized POMDPs
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.
| Autor: | Amato, Christopher Oliehoek, Frans A. |
|---|---|
| ISBN: | 9783319289274 |
| Sprache: | Englisch |
| Seitenzahl: | 134 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 14.06.2016 |
| Schlagworte: | Agents Decentralized Control Dynamic Programming Heuristics Markov Decision Processes Multiagent Planning Multiagent Systems Operations Research Optimization POMDPs |
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