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 ◽

Author(s):

Mengyuan Zhang ◽

Jiming Chen ◽

Lei Yang ◽

Junshan Zhang

Keyword(s):

Reinforcement Learning ◽

Dynamic Pricing ◽

Privacy Preserving ◽

Learning Approach ◽

Mobile Crowdsensing

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Dynamic pricing and energy management for profit maximization in multiple smart electric vehicle charging stations: A privacy-preserving deep reinforcement learning approach

Applied Energy ◽

10.1016/j.apenergy.2021.117754 ◽

2021 ◽

Vol 304 ◽

pp. 117754

Author(s):

Sangyoon Lee ◽

Dae-Hyun Choi

Keyword(s):

Reinforcement Learning ◽

Electric Vehicle ◽

Energy Management ◽

Dynamic Pricing ◽

Profit Maximization ◽

Privacy Preserving ◽

Learning Approach ◽

Electric Vehicle Charging ◽

Charging Stations

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A Resource-Constrained and Privacy-Preserving Edge Computing Enabled Clinical Decision System: A Federated Reinforcement Learning Approach

IEEE Internet of Things Journal ◽

10.1109/jiot.2021.3057653 ◽

2021 ◽

pp. 1-1

Author(s):

Zeyue Xue ◽

Pan Zhou ◽

Zichuan Xu ◽

Xiumin Wang ◽

Yulai Xie ◽

...

Keyword(s):

Reinforcement Learning ◽

Clinical Decision ◽

Privacy Preserving ◽

Edge Computing ◽

Learning Approach ◽

Resource Constrained ◽

Decision System ◽

System A ◽

Clinical Decision System

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Improving duck curve by dynamic pricing and battery scheduling based on a deep reinforcement learning approach

10.1145/3486611.3492232 ◽

2021 ◽

Author(s):

Daichi Watari ◽

Ittetsu Taniguchi ◽

Takao Onoye

Keyword(s):

Reinforcement Learning ◽

Dynamic Pricing ◽

Learning Approach

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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 ◽

Author(s):

Chengzhe Piao ◽

Chi Harold Liu

Keyword(s):

Reinforcement Learning ◽

Energy Efficient ◽

Unmanned Vehicles ◽

Learning Approach ◽

Mobile Crowdsensing

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Dynamic Pricing for Smart Mobile Edge Computing: A Reinforcement Learning Approach

IEEE Wireless Communications Letters ◽

10.1109/lwc.2020.3039863 ◽

2020 ◽

pp. 1-1

Author(s):

Shiyu Chen ◽

Lingxiang Li ◽

Zhi Chen ◽

Shaoqian Li

Keyword(s):

Reinforcement Learning ◽

Dynamic Pricing ◽

Edge Computing ◽

Learning Approach ◽

Mobile Edge Computing ◽

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Dynamic Pricing for EV Charging Stations: A Deep Reinforcement Learning Approach

IEEE Transactions on Transportation Electrification ◽

10.1109/tte.2021.3139674 ◽

2021 ◽

pp. 1-1

Author(s):

Zhonghao Zhao ◽

Carman K.M. Lee

Keyword(s):

Reinforcement Learning ◽

Dynamic Pricing ◽

Learning Approach ◽

Charging Stations ◽

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Investigating Q-learning approach by using reinforcement learning to decide dynamic pricing for multiple products

International Journal of Business Information Systems ◽

10.1504/ijbis.2019.10021042 ◽

2019 ◽

Vol 31 (1) ◽

pp. 86

Author(s):

Fakhraddin Maroofi

Keyword(s):

Reinforcement Learning ◽

Dynamic Pricing ◽

Learning Approach ◽

Multiple Products

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A Dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach

Applied Energy ◽

10.1016/j.apenergy.2018.03.072 ◽

2018 ◽

Vol 220 ◽

pp. 220-230 ◽

Author(s):

Renzhi Lu ◽

Seung Ho Hong ◽

Xiongfeng Zhang

Keyword(s):

Reinforcement Learning ◽

Demand Response ◽

Dynamic Pricing ◽

Learning Approach ◽

Grid Reinforcement

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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 ◽

2021 ◽

Author(s):

Zipeng Dai ◽

Hao Wang ◽

Chi Harold Liu ◽

Rui Han ◽

Jian Tang ◽

...

Keyword(s):

Reinforcement Learning ◽

Learning Approach ◽

Mobile Crowdsensing ◽

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Privacy-preserving incentive mechanism for multi-leader multi-follower IoT-edge computing market: A reinforcement learning approach

Journal of Systems Architecture ◽

10.1016/j.sysarc.2020.101932 ◽

2020 ◽

pp. 101932

Author(s):

Huiying Xu ◽

Xiaoyu Qiu ◽

Weikun Zhang ◽

Kang Liu ◽

Shuo Liu ◽

...

Keyword(s):

Reinforcement Learning ◽

Incentive Mechanism ◽

Privacy Preserving ◽

Edge Computing ◽

Learning Approach

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