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Systems theory / Mathematical optimization / Markov processes / Stochastic control / Multi-agent systems / Partially observable Markov decision process / Automated planning and scheduling / Markov decision process / Action selection / Statistics / Dynamic programming / Control theory


Planning with Macro-Actions in Decentralized POMDPs Christopher Amato, George D. Konidaris and Leslie P. Kaelbling MIT CSAIL Cambridge, MA 02139 {camato, gdk, lpk}@csail.mit.edu
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Document Date: 2014-02-13 11:20:11

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City

Lima / Paris / /

Company

International Journal / G. Konidaris L. P. / Multiagent Systems / Multi-Agent Systems / Discrete Event Dynamic Systems / /

Country

France / /

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IndustryTerm

near-optimal solutions / finite-horizon solutions / dynamic programming algorithm / dynamic programming algorithms / error-bounded solutions / exhaustive search / Approximate solutions / exhaustive search method / multirobot systems / /

MarketIndex

POMDP / /

Organization

MIT / International Foundation for Autonomous Agents / /

Person

Michael Huhns / Alessio Lomuscio / Paul Scerri / Ai / S. Zilberstein / V / Ana Bazzan / R. Becker / V / Leslie P. Kaelbling / George D. Konidaris / /

Position

representative / /

PublishedMedium

Machine Learning / The Knowledge Engineering Review / Journal of Artificial Intelligence Research / /

Technology

dynamic programming algorithms / approximate Dec-POMDP algorithms / end function This algorithm / option-based algorithms / Dec-POMDP algorithms / dynamic programming algorithm / Dec-POMDP algorithm / ALGORITHMS Because Dec-POMDP algorithms / Machine Learning / /

URL

www.ifaamas.org / /

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