2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 1 cited
Neural-to-Tree Policy Distillation with Policy Improvement Criterion
Zhao-Hua Li, Yang Yu, Yingfeng Chen +3
While deep reinforcement learning has achieved promising results in challenging decision-making tasks, the main bones of its success --- deep neural networks are mostly black-boxes…
cs.AI2016★ 2 cited
Extracting Actionability from Machine Learning Models by Sub-optimal Deterministic Planning
Qiang Lyu, Yixin Chen, Zhaorong Li +4
A main focus of machine learning research has been improving the generalization accuracy and efficiency of prediction models. Many models such as SVM, random forest, and deep neura…