3 citations · 3 across the 1 of their papers we have counts for
4 papers
Deep Reinforcement Learning for Online Routing of Unmanned Aerial Vehicles with Wireless Power Transfer
Kaiwen Li, Tao Zhang, Rui Wang +1
The unmanned aerial vehicle (UAV) plays an vital role in various applications such as delivery, military mission, disaster rescue, communication, etc., due to its flexibility and v…
Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems
Kaiwen Li, Tao Zhang, Rui Wang Yuheng Wang +1
This paper introduces a new deep learning approach to approximately solve the Covering Salesman Problem (CSP). In this approach, given the city locations of a CSP as input, a deep…
Investigating Constraint Relationship in Evolutionary Many-Constraint Optimization
Mengjun Ming, Rui Wang, Tao Zhang
This paper contributes to the treatment of extensive constraints in evolutionary many-constraint optimization through consideration of the relationships between pair-wise constrain…
Deep Reinforcement Learning for Multi-objective Optimization
Kaiwen Li, Tao Zhang, Rui Wang
This study proposes an end-to-end framework for solving multi-objective optimization problems (MOPs) using Deep Reinforcement Learning (DRL), that we call DRL-MOA. The idea of deco…