Exploration and Apprenticeship Learning in Reinforcement Learning Pieter Abbeel Andrew Y. Ng Computer Science Department, Stanford University Stanford, CA 94305, USA - Andrew Ng - Document - PDFSEARCH.IO

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	Exploration and Apprenticeship Learning in Reinforcement Learning Pieter Abbeel Andrew Y. Ng Computer Science Department, Stanford University Stanford, CA 94305, USA Add to Reading List Document Date: 2008-12-01 11:16:12 Open Document File Size: 158,75 KB Share Result on Facebook City Cambridge / Bonn / Brafman / / Company Kaelbling L. P. / Prentice-Hall / W. D. & Kaelbling L. P. / MIT Press / Let SA / Duxbury Press / / Country Germany / / IndustryTerm online learning results / neural network / polynomial time algorithm / linear dynamical systems / chemical plant / continuous systems / state space systems / palatable algorithm / dynamical systems / / Organization Reinforcement Learning Pieter Abbeel Andrew Y. Ng Computer Science Department / MIT / Stanford University Stanford / / Position author / teacher / dynamics model for the system / designer / using teacher / robot controller / controller / / Product k1 / / ProvinceOrState Rhode Island / California / / PublishedMedium Machine Learning / Journal of Machine Learning Research / / Technology following algorithm / neural network / polynomial time algorithm / EDU algorithms / Machine Learning / simulation / / URL http / SocialTag Estimation theory Statistical theory Dynamic programming Markov decision process Reinforcement learning Markov chain Maximum likelihood XTR Statistics Markov processes

Exploration and Apprenticeship Learning in Reinforcement Learning Pieter Abbeel Andrew Y. Ng Computer Science Department, Stanford University Stanford, CA 94305, USAAdd to Reading List