ResearchTrend.AI
Physics-Based Trajectory Design for Cellular-Connected UAV in Rainy Environments Based on Deep Reinforcement Learning

Physics-Based Trajectory Design for Cellular-Connected UAV in Rainy Environments Based on Deep Reinforcement Learning

Hao Qin
Zhaozhou Wu
Xingqi Zhang
ArXivPDFHTML

Papers citing "Physics-Based Trajectory Design for Cellular-Connected UAV in Rainy Environments Based on Deep Reinforcement Learning"

2 / 2 papers shown
Title
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning
Yong Zeng
Xiaoli Xu
Shi Jin
Rui Zhang
31
164
0
17 Mar 2020
A Double Q-Learning Approach for Navigation of Aerial Vehicles with Connectivity Constraint
A Double Q-Learning Approach for Navigation of Aerial Vehicles with Connectivity Constraint
Behzad Khamidehi
E. Sousa
6
15
0
24 Feb 2020