4 papers · 1 filter
Beyond Exponentially Discounted Sum: Automatic Learning of Return Function
Yufei Wang, Qiwei Ye, Tie-Yan Liu
In reinforcement learning, Return, which is the weighted accumulated future rewards, and Value, which is the expected return, serve as the objective that guides the learning of the…
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning
Yufei Wang, Ziju Shen, Zichao Long +1
Conservation laws are considered to be fundamental laws of nature. It has broad applications in many fields, including physics, chemistry, biology, geology, and engineering. Solvin…
How far from automatically interpreting deep learning
Jinwei Zhao, Qizhou Wang, Yufei Wang +2
In recent years, deep learning researchers have focused on how to find the interpretability behind deep learning models. However, today cognitive competence of human has not comple…
How to improve the interpretability of kernel learning
Jinwei Zhao, Qizhou Wang, Yufei Wang +3
In recent years, machine learning researchers have focused on methods to construct flexible and interpretable prediction models. However, an interpretability evaluation, a relation…