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Learning to Recharge: UAV Coverage Path Planning through Deep
  Reinforcement Learning

Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning

6 September 2023
Mirco Theile
Harald Bayerlein
Marco Caccamo
Alberto L. Sangiovanni-Vincentelli
ArXivPDFHTML

Papers citing "Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning"

5 / 5 papers shown
Title
Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning
Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning
Mirco Theile
Andres R. Zapata Rodriguez
Marco Caccamo
Alberto L. Sangiovanni-Vincentelli
34
0
0
13 May 2025
On-policy Actor-Critic Reinforcement Learning for Multi-UAV Exploration
On-policy Actor-Critic Reinforcement Learning for Multi-UAV Exploration
A. Farid
Jafar Roshanian
Malek Mouhoub
26
1
0
17 Sep 2024
Equivariant Ensembles and Regularization for Reinforcement Learning in
  Map-based Path Planning
Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning
Mirco Theile
Hongpeng Cao
Marco Caccamo
Alberto L. Sangiovanni-Vincentelli
35
2
0
19 Mar 2024
Learning to Generate All Feasible Actions
Learning to Generate All Feasible Actions
Mirco Theile
Daniele Bernardini
Raphael Trumpp
C. Piazza
Marco Caccamo
Alberto L. Sangiovanni-Vincentelli
29
2
0
26 Jan 2023
UAV Coverage Path Planning under Varying Power Constraints using Deep
  Reinforcement Learning
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning
Mirco Theile
Harald Bayerlein
R. Nai
David Gesbert
Marco Caccamo
19
84
0
05 Mar 2020
1