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Neural networks / SARSA / Q-learning / Reinforcement learning / Temporal difference learning / Backpropagation / Markov decision process / Algorithm / Machine learning / Statistics / Computational neuroscience


Applying Reinforcement Learning to Obstacle Avoidance Josh Beitelspacher University of Oklahoma, 308 Cate Center Drive Box 5242, Norman, OK[removed]USA [removed]
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Document Date: 2011-01-10 03:02:38


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San Francisco / Cambridge / New York / Norman / /

Company

Autonomous Systems / MIT Press / McGraw-Hill / /

Country

United States / /

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Facility

Obstacle Avoidance Josh Beitelspacher University of Oklahoma / /

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faster algorithm / reinforcement learning algorithm / neural network / reinforcement learning algorithms / machine learning algorithm / naive algorithm / neural networks / multilayer backpropagation neural networks / backpropagation algorithm / backpropagation neural network / learning algorithm / learning algorithms / /

MarketIndex

set 4000 / /

Organization

University of Oklahoma / MIT / /

Person

Morgan Kaufmann / /

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Position

rt / player / /

ProvinceOrState

Oklahoma / California / /

PublishedMedium

Machine Learning / Communications of the ACM / /

Technology

Learning Algorithm / slightly faster algorithm / Reinforcement learning algorithms / neural network / Java / machine learning algorithm / learning algorithms / Machine Learning / simulation / reinforcement learning algorithm / backpropagation algorithm / two algorithms / /

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http /

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