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Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach
IEEE INFOCOM 2021 - IEEE Conference on Computer Communications
◽
10.1109/infocom42981.2021.9488791
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2021
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Author(s):
Zipeng Dai
◽
Hao Wang
◽
Chi Harold Liu
◽
Rui Han
◽
Jian Tang
◽
...
Keyword(s):
Reinforcement Learning
◽
Learning Approach
◽
Mobile Crowdsensing
◽
Data Freshness
Download Full-text
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Energy-Efficient Mobile Crowdsensing by Unmanned Vehicles: A Sequential Deep Reinforcement Learning Approach
IEEE Internet of Things Journal
◽
10.1109/jiot.2019.2962545
◽
2020
◽
Vol 7
(7)
◽
pp. 6312-6324
◽
Cited By ~ 1
Author(s):
Chengzhe Piao
◽
Chi Harold Liu
Keyword(s):
Reinforcement Learning
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Energy Efficient
◽
Unmanned Vehicles
◽
Learning Approach
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Mobile Crowdsensing
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Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach
IEEE Transactions on Intelligent Transportation Systems
◽
10.1109/tits.2020.3039617
◽
2020
◽
pp. 1-13
Author(s):
Sarder Fakhrul Abedin
◽
Md. Shirajum Munir
◽
Nguyen H. Tran
◽
Zhu Han
◽
Choong Seon Hong
Keyword(s):
Reinforcement Learning
◽
Energy Efficient
◽
Learning Approach
◽
Data Freshness
◽
Uav Navigation
Download Full-text
Dynamic Pricing for Privacy-Preserving Mobile Crowdsensing: A Reinforcement Learning Approach
IEEE Network
◽
10.1109/mnet.2018.1700468
◽
2019
◽
Vol 33
(2)
◽
pp. 160-165
◽
Cited By ~ 2
Author(s):
Mengyuan Zhang
◽
Jiming Chen
◽
Lei Yang
◽
Junshan Zhang
Keyword(s):
Reinforcement Learning
◽
Dynamic Pricing
◽
Privacy Preserving
◽
Learning Approach
◽
Mobile Crowdsensing
Download Full-text
Trajectory Design in UAV-Aided Mobile Crowdsensing: A Deep Reinforcement Learning Approach
ICC 2021 - IEEE International Conference on Communications
◽
10.1109/icc42927.2021.9500579
◽
2021
◽
Author(s):
Xi Tao
◽
Abdelhakim Senhaji Hafid
Keyword(s):
Reinforcement Learning
◽
Learning Approach
◽
Trajectory Design
◽
Mobile Crowdsensing
Download Full-text
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)
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10.23919/date48585.2020.9116574
◽
2020
◽
Author(s):
Florian Maurer
◽
Bryan Donyanavard
◽
Amir M. Rahmani
◽
Nikil Dutt
◽
Andreas Herkersdorf
Keyword(s):
Reinforcement Learning
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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
Download Full-text
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
Download Full-text
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