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: re...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Oliehoek, Frans A. (Auteur), Amato, Christopher (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: Cham : Springer International Publishing : Imprint: Springer, 2016.
Édition:1st ed. 2016.
Collection:SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics,
Sujets:
Artificial intelligence.
Control engineering.
Robotics.
Automation.
Mathematical optimization.
Artificial Intelligence.
Control, Robotics, Automation.
Optimization.
Accès en ligne:Texto Completo
Table des matières:
  • 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.

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