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Dynamic programming / Markov processes / Stochastic control / Theoretical computer science / Partially observable Markov decision process / Markov decision process / Motion planning / Symbol / Vector space / Statistics / Algebra / Mathematics


IN Proc. IEEE Int. Conf. on Robotics & Automation, 2008 A Point-Based POMDP Planner for Target Tracking David Hsu∗ Wee Sun Lee∗
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Document Date: 2008-07-11 05:01:44


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Company

SIAM Journal / K. Hsiao L.P. / Neural Information Processing Systems / /

Country

United States / /

Facility

National University of Singapore / Computer Science National University of Singapore Singapore / /

IndustryTerm

homecare applications / energy consumption / inner product / point-based algorithms / energy-conserving actions / target search / Online POMDP Policy Learning / software package / good approximate solutions / /

Organization

National University of Singapore / M.I.T / NUS ARF / Computer Science National University / School of Computing / Nan Rong† Department of Computer Science Cornell University Ithaca / /

Person

Y.P. Li / N. Rong / Leslie Kaelbling / David Hsu∗ Wee Sun / M.H. Ang Jr. / Wee Sun Lee / D. Hsu / W.S. Lee / Nan Rong / T. Bandyopadhyay / Tomas LozanoP / /

Position

reactive motion planner / representative / Planner / /

ProgrammingLanguage

C++ / /

ProvinceOrState

New York / /

PublishedMedium

SIAM Journal on Computing / Machine Learning / /

Technology

POMDP algorithm / recent POMDP algorithms / point-based algorithms / point-based POMDP algorithm / POMDP solution algorithms / existing point-based algorithm / Point-based POMDP algorithms / recent point-based POMDP algorithms / machine learning / SARSOP algorithm / Simulation / html / PBVI algorithm / /

URL

http /

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