Voot Tangkaratt
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
6
Active years
2015–2021
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | ACML | Meta-Model-Based Meta-Policy Optimization. | Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, Yoshimasa Tsuruoka |
| 2021 | AISTATS | Robust Imitation Learning from Noisy Demonstrations. | Voot Tangkaratt, Nontawat Charoenphakdee, Masashi Sugiyama |
| 2020 | ICML | Variational Imitation Learning with Diverse-quality Demonstrations. | Voot Tangkaratt, Bo Han, Mohammad Emtiyaz Khan, Masashi Sugiyama |
| 2020 | IROS | Simultaneous Planning for Item Picking and Placing by Deep Reinforcement Learning. | Tatsuya Tanaka, Toshimitsu Kaneko, Masahiro Sekine, Voot Tangkaratt, Masashi Sugiyama |
| 2019 | ICLR | Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization. | Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama |
| 2019 | ICML | Imitation Learning from Imperfect Demonstration. | Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao, Voot Tangkaratt, Masashi Sugiyama |
| 2018 | ICLR | Guide Actor-Critic for Continuous Control. | Voot Tangkaratt, Abbas Abdolmaleki, Masashi Sugiyama |
| 2018 | ICML | Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam. | Mohammad Emtiyaz Khan, Didrik Nielsen, Voot Tangkaratt, Wu Lin, Yarin Gal, Akash Srivastava |
| 2017 | AAAI | Policy Search with High-Dimensional Context Variables. | Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama |
| 2015 | ACML | Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities. | Hiroaki Sasaki, Voot Tangkaratt, Masashi Sugiyama |