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Control theory / Linear filters / Stochastic differential equations / Kalman filter / Markov decision process / Normal distribution / Gaussian process / Q-learning / SARSA / Statistics / Markov models / Stochastic processes


Reinforcement learning with Gaussian processes Yaakov Engel Dept. of Computing Science, University of Alberta, Edmonton, Canada Shie Mannor Dept. of Electrical and Computer Engineering, McGill University, Montreal, Cana
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Document Date: 2008-12-01 11:15:01


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City

Edmonton / Haifa / Cambridge / Bonn / /

Company

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

Country

Germany / Canada / Israel / /

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Event

Diplomatic Relations / /

Facility

The Hebrew University of Jerusalem / Technion Institute of Technology / University of Alberta / McGill University / /

IndustryTerm

recursive algorithms / non-sparse solution / on-line kernel sparsification algorithm / recursive algorithm / off-line algorithm / over products / on-line algorithm / Statistical signal processing / /

Organization

MIT / University of Alberta / GPTD MC / Technion Institute of Technology / Hebrew University of Jerusalem / McGill University / Montreal / /

Person

Vt / Nt / Mansour / Ron Meir / /

Position

greedy Pm / Prime Minister / current state Pm / Rt / author / model / Zt Rt / representative / GPActor-Critic / finite-dimensional processes Rt / /

Product

Pentax K-x Digital Camera / /

ProvinceOrState

Alberta / /

PublishedMedium

Machine Learning / /

Technology

GPTD algorithm / GPS / corresponding on-line algorithm / RL algorithms / Machine Learning / recursive algorithm / two corresponding algorithms / resulting algorithm / artificial intelligence / inherently off-line algorithm / SARSA algorithm / second GPTD algorithm / on-line kernel sparsification algorithm / Simulation / TD algorithm / MC-GPTD algorithm / GPSARSA algorithm / /

URL

www.cs.ualberta.ca/∼yaki / www.cs.ualberta.ca/∼yaki/reports/octopus.pdf / /

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