Voot Tangkaratt

According to our database1, Voot Tangkaratt authored at least 16 papers between 2013 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
TD-regularized actor-critic methods.
Machine Learning, 2019

Imitation Learning from Imperfect Demonstration.
Proceedings of the 36th International Conference on Machine Learning, 2019

Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities.
Neural Computation, 2018

Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam.
Proceedings of the 35th International Conference on Machine Learning, 2018

Guide Actor-Critic for Continuous Control.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction.
Neural Computation, 2017

Policy Search with High-Dimensional Context Variables.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Trial and Error: Using Previous Experiences as Simulation Models in Humanoid Motor Learning.
IEEE Robot. Automat. Mag., 2016

Model-based reinforcement learning with dimension reduction.
Neural Networks, 2016

2015
Conditional Density Estimation with Dimensionality Reduction via Squared-Loss Conditional Entropy Minimization.
Neural Computation, 2015

Direct conditional probability density estimation with sparse feature selection.
Machine Learning, 2015

Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities.
Proceedings of The 7th Asian Conference on Machine Learning, 2015

2014
Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation.
Neural Networks, 2014

Efficient reuse of previous experiences in humanoid motor learning.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013
Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration.
Neural Computation, 2013


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