Tangkaratt, Voot

12 publications

AISTATS 2021 Robust Imitation Learning from Noisy Demonstrations Voot Tangkaratt, Nontawat Charoenphakdee, Masashi Sugiyama

ACML 2021 Meta-Model-Based Meta-Policy Optimization Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, Yoshimasa Tsuruoka

MLJ 2020 Active Deep Q-Learning with Demonstration Si-An Chen, Voot Tangkaratt, Hsuan-Tien Lin, Masashi Sugiyama

ICML 2020 Variational Imitation Learning with Diverse-Quality Demonstrations Voot Tangkaratt, Bo Han, Mohammad Emtiyaz Khan, Masashi Sugiyama

ICLR 2019 Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama

ICML 2019 Imitation Learning from Imperfect Demonstration Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao, Voot Tangkaratt, Masashi Sugiyama

MLJ 2019 TD-Regularized Actor-Critic Methods Simone Parisi, Voot Tangkaratt, Jan Peters, Mohammad Emtiyaz Khan

ICML 2018 Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Khan, Didrik Nielsen, Voot Tangkaratt, Wu Lin, Yarin Gal, Akash Srivastava

ICLR 2018 Guide Actor-Critic for Continuous Control Voot Tangkaratt, Abbas Abdolmaleki, Masashi Sugiyama

AAAI 2017 Policy Search with High-Dimensional Context Variables Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama

MLJ 2015 Direct Conditional Probability Density Estimation with Sparse Feature Selection Motoki Shiga, Voot Tangkaratt, Masashi Sugiyama

ACML 2015 Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities Hiroaki Sasaki, Voot Tangkaratt, Masashi Sugiyama