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A Deep Reinforcement Learning Approach for the Patrolling Problem of Water Resources Through Autonomous Surface Vehicles: The Ypacarai Lake Case
IEEE Access
◽
10.1109/access.2020.3036938
◽
2020
◽
Vol 8
◽
pp. 204076-204093
Author(s):
Samuel Yanes Luis
◽
Daniel Gutierrez Reina
◽
Sergio L. Toral Marin
Keyword(s):
Reinforcement Learning
◽
Water Resources
◽
Learning Approach
◽
Autonomous Surface Vehicles
Download Full-text
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References
A Multiagent Deep Reinforcement Learning Approach for Path Planning in Autonomous Surface Vehicles: The Ypacaraí Lake Patrolling Case
IEEE Access
◽
10.1109/access.2021.3053348
◽
2021
◽
Vol 9
◽
pp. 17084-17099
Author(s):
Samuel Yanes Luis
◽
Daniel Gutierrez Reina
◽
Sergio L. Toral Marin
Keyword(s):
Reinforcement Learning
◽
Path Planning
◽
Learning Approach
◽
Autonomous Surface Vehicles
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A multiobjective reinforcement learning approach to water resources systems operation: Pareto frontier approximation in a single run
Water Resources Research
◽
10.1002/wrcr.20295
◽
2013
◽
Vol 49
(6)
◽
pp. 3476-3486
◽
Cited By ~ 42
Author(s):
A. Castelletti
◽
F. Pianosi
◽
M. Restelli
Keyword(s):
Reinforcement Learning
◽
Water Resources
◽
Pareto Frontier
◽
Learning Approach
◽
Water Resources Systems
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Service Chaining Offloading Decision in the EdgeAI: A Deep Reinforcement Learning Approach
2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS)
◽
10.23919/apnoms50412.2020.9237048
◽
2020
◽
Author(s):
Minkyun Lee
◽
Choong Seon Hong
Keyword(s):
Reinforcement Learning
◽
Learning Approach
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Emergent Control of MPSoC Operation by a Hierarchical Supervisor / Reinforcement Learning Approach
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE)
◽
10.23919/date48585.2020.9116574
◽
2020
◽
Author(s):
Florian Maurer
◽
Bryan Donyanavard
◽
Amir M. Rahmani
◽
Nikil Dutt
◽
Andreas Herkersdorf
Keyword(s):
Reinforcement Learning
◽
Learning Approach
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Energy-efficient UAV trajectory design for backscatter communication: A deep reinforcement learning approach
China Communications
◽
10.23919/jcc.2020.10.009
◽
2020
◽
Vol 17
(10)
◽
pp. 129-141
Author(s):
Yiwen Nie
◽
Junhui Zhao
◽
Jun Liu
◽
Jing Jiang
◽
Ruijin Ding
Keyword(s):
Reinforcement Learning
◽
Energy Efficient
◽
Learning Approach
◽
Trajectory Design
◽
Backscatter Communication
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Policy based reinforcement learning approach Of Jobshop scheduling with high level deadlock detection
10.31274/etd-180810-1488
◽
2014
◽
Author(s):
Mengmeng Chen
Keyword(s):
Reinforcement Learning
◽
Learning Approach
◽
Deadlock Detection
◽
Jobshop Scheduling
◽
High Level
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Author response for "Deep learning and reinforcement learning approach on microgrid"
10.1002/2050-7038.12531/v2/response1
◽
2020
◽
Author(s):
Kumar Chandrasekaran
◽
Prabaakaran Kandasamy
◽
Srividhya Ramanathan
Keyword(s):
Deep Learning
◽
Reinforcement Learning
◽
Author Response
◽
Learning Approach
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Attentional Shifting and Curiosity: a Reinforcement Learning Approach
10.21528/cbic2013-256
◽
2016
◽
Author(s):
Dario di Nocera
◽
Alberto Finzi
◽
Silvia Rossi
◽
Mariacarla Staffa
Keyword(s):
Reinforcement Learning
◽
Learning Approach
◽
Attentional Shifting
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Simulation-based Reinforcement Learning Approach towards Construction Machine Automation
Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC)
◽
10.22260/isarc2020/0064
◽
2020
◽
Author(s):
Keita Matsumoto
◽
Atsushi Yamaguchi
◽
Takahiro Oka
◽
Masahiro Yasumoto
◽
Satoru Hara
◽
...
Keyword(s):
Reinforcement Learning
◽
Learning Approach
◽
Construction Machine
◽
Simulation Based
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Modelling, Detecting and Mitigating Threats against Industrial Healthcare Systems: A combined SDN and Reinforcement Learning Approach
IEEE Transactions on Industrial Informatics
◽
10.1109/tii.2021.3093905
◽
2021
◽
pp. 1-1
Author(s):
Panagiotis Radoglou-Grammatikis
◽
Konstantinos Robolos
◽
Panagiotis Sarigiannidis
◽
Vasileios Argyriou
◽
Thomas Lagkas
◽
...
Keyword(s):
Reinforcement Learning
◽
Healthcare Systems
◽
Learning Approach
Download Full-text
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