1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2020
Semi-supervised deep learning for high-dimensional uncertainty quantification
Zequn Wang, Mingyang Li
Conventional uncertainty quantification methods usually lacks the capability of dealing with high-dimensional problems due to the curse of dimensionality. This paper presents a sem…
cs.LG2019★ 1 cited
Reinforcement Learning for Robotics and Control with Active Uncertainty Reduction
Narendra Patwardhan, Zequn Wang
Model-free reinforcement learning based methods such as Proximal Policy Optimization, or Q-learning typically require thousands of interactions with the environment to approximate…