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Voot Tangkaratt

Showing results (1-10 of 7) with videos related to

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Neural Computation|November 8, 2014
Conditional density estimation with dimensionality reduction via squared-loss conditional entropy minimizationVoot Tangkaratt, Ning Xie, Masashi Sugiyama
Neural Networks : the Official Journal of the International Neural Network Society|September 19, 2016
Model-based reinforcement learning with dimension reductionVoot Tangkaratt, Jun Morimoto, Masashi Sugiyama
Neural Networks : the Official Journal of the International Neural Network Society|May 6, 2022
Discovering diverse solutions in deep reinforcement learning by maximizing state-action-based mutual informationTakayuki Osa, Voot Tangkaratt, Masashi Sugiyama
Neural Computation|June 10, 2017
Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension ReductionVoot Tangkaratt, Hiroaki Sasaki, Masashi Sugiyama
Neural Computation|November 23, 2017
Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional DensitiesHiroaki Sasaki, Voot Tangkaratt, Gang Niu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 5, 2014
Model-based policy gradients with parameter-based exploration by least-squares conditional density estimationVoot Tangkaratt, Syogo Mori, Tingting Zhao, et al.
Neural Computation|March 23, 2013
Efficient sample reuse in policy gradients with parameter-based explorationTingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Neural Computation|November 8, 2014
Conditional density estimation with dimensionality reduction via squared-loss conditional entropy minimizationVoot Tangkaratt, Ning Xie, Masashi Sugiyama
Neural Networks : the Official Journal of the International Neural Network Society|September 19, 2016
Model-based reinforcement learning with dimension reductionVoot Tangkaratt, Jun Morimoto, Masashi Sugiyama
Neural Networks : the Official Journal of the International Neural Network Society|May 6, 2022
Discovering diverse solutions in deep reinforcement learning by maximizing state-action-based mutual informationTakayuki Osa, Voot Tangkaratt, Masashi Sugiyama
Neural Computation|June 10, 2017
Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension ReductionVoot Tangkaratt, Hiroaki Sasaki, Masashi Sugiyama
Neural Computation|November 23, 2017
Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional DensitiesHiroaki Sasaki, Voot Tangkaratt, Gang Niu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 5, 2014
Model-based policy gradients with parameter-based exploration by least-squares conditional density estimationVoot Tangkaratt, Syogo Mori, Tingting Zhao, et al.
Neural Computation|March 23, 2013
Efficient sample reuse in policy gradients with parameter-based explorationTingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, et al.
Pageof 1