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A Transfer Learning Approach for UAV Path Design with Connectivity
  Outage Constraint

A Transfer Learning Approach for UAV Path Design with Connectivity Outage Constraint

7 November 2022
G. Fontanesi
Anding Zhu
M. Arvaneh
Hamed Ahmadi
ArXiv (abs)PDFHTML

Papers citing "A Transfer Learning Approach for UAV Path Design with Connectivity Outage Constraint"

11 / 11 papers shown
Title
Learning-Based UAV Trajectory Optimization with Collision Avoidance and
  Connectivity Constraints
Learning-Based UAV Trajectory Optimization with Collision Avoidance and Connectivity Constraints
Xueyuan Wang
M. C. Gursoy
51
23
0
03 Apr 2021
Transfer Learning in Deep Reinforcement Learning: A Survey
Transfer Learning in Deep Reinforcement Learning: A Survey
Zhuangdi Zhu
Kaixiang Lin
Anil K. Jain
Jiayu Zhou
OffRLLRM
110
596
0
16 Sep 2020
Federated Learning for Cellular-connected UAVs: Radio Mapping and Path
  Planning
Federated Learning for Cellular-connected UAVs: Radio Mapping and Path Planning
Behzad Khamidehi
E. Sousa
29
17
0
23 Aug 2020
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
58
168
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
28
16
0
24 Feb 2020
Placement Optimization of Aerial Base Stations with Deep Reinforcement
  Learning
Placement Optimization of Aerial Base Stations with Deep Reinforcement Learning
Jin Qiu
Jiangbin Lyu
Liqun Fu
60
29
0
19 Nov 2019
Connectivity-Aware UAV Path Planning with Aerial Coverage Maps
Connectivity-Aware UAV Path Planning with Aerial Coverage Maps
Hongyu Yang
Jun Zhang
Shenghui Song
Khaled B. Letaief
35
22
0
15 May 2019
Path Design for Cellular-Connected UAV with Reinforcement Learning
Path Design for Cellular-Connected UAV with Reinforcement Learning
Yong Zeng
Xiaoli Xu
61
54
0
09 May 2019
A Lyapunov-based Approach to Safe Reinforcement Learning
A Lyapunov-based Approach to Safe Reinforcement Learning
Yinlam Chow
Ofir Nachum
Edgar A. Duénez-Guzmán
Mohammad Ghavamzadeh
165
508
0
20 May 2018
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
Safe Exploration of State and Action Spaces in Reinforcement Learning
Safe Exploration of State and Action Spaces in Reinforcement Learning
Javier García
Fernando Fernández
103
164
0
04 Feb 2014
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