Dynamic Computation Offloading With Energy Harvesting Devices: A Hybrid-Decision-Based Deep Reinforcement Learning Approach

2020 ◽  
Vol 7 (10) ◽  
pp. 9303-9317
Author(s):  
Jing Zhang ◽  
Jun Du ◽  
Yuan Shen ◽  
Jian Wang
Keyword(s):  
Reinforcement Learning ◽  
Energy Harvesting ◽  
Computation Offloading ◽  
Learning Approach ◽  
Dynamic Computation ◽  
Energy Harvesting Devices

Collaborative Computation Offloading and Resource Allocation in Multi-UAV Assisted IoT Networks: A Deep Reinforcement Learning Approach

2021 ◽  
pp. 1-1
Author(s):  
Abegaz Mohammed Seid ◽  
Gordon Owusu Boateng ◽  
Stephen Anokye ◽  
Thomas Kwantwi ◽  
Guolin Sun ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Reinforcement Learning ◽  
Computation Offloading ◽  
Learning Approach ◽  
Multi Uav

Enabling Sustainable Underwater IoT Networks With Energy Harvesting: A Decentralized Reinforcement Learning Approach

2020 ◽  
Vol 7 (10) ◽  
pp. 9953-9964 ◽  
Author(s):  
Mengqi Han ◽  
Jianli Duan ◽  
Sami Khairy ◽  
Lin X. Cai
Keyword(s):  
Reinforcement Learning ◽  
Energy Harvesting ◽  
Learning Approach

scholarly journals Dependency-Aware Computation Offloading in Mobile Edge Computing: A Reinforcement Learning Approach

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 134742-134753 ◽  
Author(s):  
Shengli Pan ◽  
Zhiyong Zhang ◽  
Zongwang Zhang ◽  
Deze Zeng
Keyword(s):  
Reinforcement Learning ◽  
Edge Computing ◽  
Computation Offloading ◽  
Learning Approach ◽  
Mobile Edge Computing

scholarly journals Distributed Power Control for Large Energy Harvesting Networks: A Multi-Agent Deep Reinforcement Learning Approach

2019 ◽  
Vol 5 (4) ◽  
pp. 1140-1154 ◽  
Author(s):  
Mohit K. Sharma ◽  
Alessio Zappone ◽  
Mohamad Assaad ◽  
Merouane Debbah ◽  
Spyridon Vassilaras
Keyword(s):  
Reinforcement Learning ◽  
Energy Harvesting ◽  
Power Control ◽  
Large Energy ◽  
Learning Approach ◽  
Distributed Power ◽  
Distributed Power Control ◽  
Multi Agent
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