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| ISBN: | 9783319289298 |
|---|---|
| Formato: | Page Fidelity |
| Idioma: | Inglés |
| Editorial: | Springer Nature |
| Tema: | Computadoras |
| Subtema: | Inteligencia artificial y semántica |
| Año de publicación: | 2016-06-03 |
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.Â