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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Vydáno v:	The Journal of artificial intelligence research Ročník 37; s. 329 - 396
Hlavní autoři:	Aras, R., Dutech, A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	San Francisco AI Access Foundation 01.01.2010 Association for the Advancement of Artificial Intelligence
Témata:	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
On-line přístup:	Získat plný text
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