4 citations · 7 across the 5 of their papers we have counts for
5 papers
Hybrid Reinforcement Learning Framework for Mixed-Variable Problems
Haoyan Zhai, Qianli Hu, Jiangning Chen
Optimization problems characterized by both discrete and continuous variables are common across various disciplines, presenting unique challenges due to their complex solution land…
Path Planning in Unknown Environments Using Optimal Transport Theory
Haoyan Zhai, Magnus Egerstedt, Haomin Zhou
This paper introduces a graph-based, potential-guided method for path planning problems in unknown environments, where obstacles are unknown until the robots are in close proximity…
A cost-reducing partial labeling estimator in text classification problem
Jiangning Chen, Zhibo Dai, Juntao Duan +5
We propose a new approach to address the text classification problems when learning with partial labels is beneficial. Instead of offering each training sample a set of candidate l…
Method of evolving junction on optimal path planning in flow fields
Haoyan Zhai, Mengxue Hou, Fumin Zhang +1
We propose an algorithm using method of evolving junctions to solve the optimal path planning problems with piece-wise constant flow fields. In such flow fields with a convex Lagra…
Centroid estimation based on symmetric KL divergence for Multinomial text classification problem
Jiangning Chen, Heinrich Matzinger, Haoyan Zhai +1
We define a new method to estimate centroid for text classification based on the symmetric KL-divergence between the distribution of words in training documents and their class cen…