Frans A. Oliehoek, Christopher Amato

A Concise Introduction to Decentralized POMDPs (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 134
• Erscheinungstermin: 3. Juni 2016
• Englisch
• ISBN-13: 9783319289298
• Artikelnr.: 46925383

Inhaltsangabe

Multiagent Systems Under Uncertainty.- The Decentralized POMDP Framework.- Finite-Horizon Dec-POMDPs.- Exact Finite-Horizon Planning Methods.- Approximate and Heuristic Finite-Horizon Planning Methods.- Infinite-Horizon Dec-POMDPs.- Infinite-Horizon Planning Methods: Discounted Cumulative Reward.- Infinite-Horizon Planning Methods: Average Reward.- Further Topics.