Voot Tangkaratt

Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam

Mohammad Emtiyaz Khan, Didrik Nielsen, Voot Tangkaratt et al. · arXiv (Cornell University) · 2018 · 60 citations · Full text

Artificial Intelligence, Model Optimization, Convolutional Neural Network +12

Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration

Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt et al. · Neural Computation · 2013 · 27 citations

Artificial Intelligence, Policy Gradients, Engineering +13

Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation

Voot Tangkaratt, Syogo Mori, Tingting Zhao et al. · Neural Networks · 2014 · 22 citations

Artificial Intelligence, Engineering, Machine Learning +8

Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization

Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama · arXiv (Cornell University) · 2019 · 20 citations · Full text

Artificial Intelligence, Hierarchical Structure, Engineering +15

Discovering diverse solutions in deep reinforcement learning by maximizing state–action-based mutual information

Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama · Neural Networks · 2022 · 20 citations

Artificial Intelligence, Engineering, Machine Learning +5