An Investigation into Mathematical Programming for Finite Horizon Decentralized POMDPs

Decentralized planning in uncertain environments is a complex task generally dealt with by using a decision-theoretic approach, mainly through the framework of Decentralized Partially Observable Markov Decision Processes (DEC-POMDPs). Although DEC-POMDPS are a general and powerful modeling tool, sol...

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Veröffentlicht in:	The Journal of artificial intelligence research Jg. 37; S. 329 - 396
Hauptverfasser:	Aras, R., Dutech, A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	San Francisco AI Access Foundation 01.01.2010 Association for the Advancement of Artificial Intelligence
Schlagworte:	Algorithms Artificial Intelligence Combinatorial analysis Complexity Computer Science Decision theory Dynamic programming Game theory Integer programming Linear programming Markov processes Mathematical programming Mixed integer Representations Decentralized Process Multiagent Systems Dynamic Programming Artificial Intelligence Mathematical Programming
ISSN:	1076-9757, 1076-9757, 1943-5037
Online-Zugang:	Volltext
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