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Dynamic programming / Markov processes / Stochastic control / Network theory / Markov decision process / Reinforcement learning / Symbol / Algorithm / Shortest path problem / Statistics / Mathematics / Applied mathematics


Hierarchical Solution of Large Markov Decision Processes Jennifer Barry and Leslie Pack Kaelbling and Tom´as Lozano-P´erez MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA 02139, USA {jbarry,lp
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Document Date: 2010-05-17 16:00:47


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City

Belmont / Cambridge / /

Company

Kaelbling L. P. / Pearson / MIT Press / Russell / AAAI Press / /

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Facility

Factory Run Time / Massachusetts Institute of Technology / Artificial Intelligence Laboratory / stable w.r.t. / /

IndustryTerm

quadratic deterministic shortest path algorithm / approximate solution / deterministic shortest path algorithm / good approximate solutions / truncated regression algorithm / approximate solutions / /

MusicGroup

The Grid / /

Organization

MIT / Massachusetts Institute of Technology / U.S. Securities and Exchange Commission / /

Person

Leslie Pack Kaelbling / Dean / Kim / Processes Jennifer Barry / /

Position

model for enumerated-states MDPs / planner / Dean / /

ProgrammingLanguage

L / C / /

ProvinceOrState

New Jersey / Massachusetts / /

PublishedMedium

Journal of Machine Learning Research / /

Technology

RAM / Symbolic Heuristic Policy Iteration Algorithms / strict two-pass algorithm / php / FHDet algorithms / artificial intelligence / deterministic shortest path algorithm / 4 Algorithm / quadratic deterministic shortest path algorithm / clustering algorithm / truncated regression algorithm / Machine Learning / 5 Algorithm / 4 4.1 Factored MDPs Clustering Algorithm / 3 3.1 Enumerated-States MDPs Clustering Algorithm / /

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