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Normal distribution / Singular value decomposition / Least squares / Reinforcement learning / Gaussian process / Proto-value functions / Markov decision process / Gaussian function / Regularization / Statistics / Mathematics / Regression analysis


Kernelized Value Function Approximation for Reinforcement Learning Gavin Taylor Ronald Parr Department of Computer Science, Duke University, Durham, NC[removed]USA
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Document Date: 2009-04-22 16:59:18


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Pittsburgh / Wakefield / Montreal / Kernel / /

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Neural Information Processing Systems / Neural Networks / Markov Decision Processes / /

Country

Canada / /

Facility

Duke University / University of Massachusetts / /

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kernel-based approximation algorithms / Online Greedy Support Vector Regression / approximation algorithm / dot product / above solution / policy iteration algorithms / value function approximation solution / approximate value function solution / policy search methods / /

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A. D. / /

Organization

University of Massachusetts / Robotics Institute / National Science Foundation / Reinforcement Learning Gavin Taylor Ronald Parr Department of Computer Science / Duke University / Durham / /

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Sridhar Mahadevan / Gavin Taylor Ronald Parr / Morgan Kaufmann / /

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author / Bishop / General / /

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V / R / /

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Pennsylvania / North Carolina / Massachusetts / /

PublishedMedium

Machine Learning / /

Technology

policy iteration algorithms / approximation algorithm / Information Technology / RL algorithms / proposed algorithms / machine learning / RL algorithm / kernel-based approximation algorithms / /

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