Dynamic Pricing: A Learning Approach

Mathematical and Computational Models for Congestion Charging - Applied Optimization ◽

10.1007/0-387-29645-x_3 ◽

2006 ◽

pp. 45-79 ◽

Cited By ~ 36

Author(s):

Dimitris Bertsimas ◽

Georgia Perakis

Keyword(s):

Dynamic Pricing ◽

Learning Approach

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Dynamic Pricing Decision for Perishable Goods: A Q-Learning Approach

2008 4th International Conference on Wireless Communications, Networking and Mobile Computing ◽

10.1109/wicom.2008.2786 ◽

2008 ◽

Cited By ~ 1

Author(s):

Yan Cheng

Keyword(s):

Dynamic Pricing ◽

Learning Approach ◽

Q Learning ◽

Perishable Goods ◽

Pricing Decision

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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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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 ◽

Smart Mobile

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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 ◽

Ev Charging

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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 ◽

Q Learning ◽

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 ◽

Cited By ~ 96

Author(s):

Renzhi Lu ◽

Seung Ho Hong ◽

Xiongfeng Zhang

Keyword(s):

Reinforcement Learning ◽

Smart Grid ◽

Demand Response ◽

Dynamic Pricing ◽

Learning Approach ◽

Grid Reinforcement

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Real Time Demand Learning-Based Q-learning Approach for Dynamic Pricing in E-retailing Setting

2009 International Symposium on Information Engineering and Electronic Commerce ◽

10.1109/ieec.2009.131 ◽

2009 ◽

Cited By ~ 3

Author(s):

Yan Cheng

Keyword(s):

Real Time ◽

Dynamic Pricing ◽

Learning Approach ◽

Demand Learning ◽

Q Learning

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Dynamic pricing scheme for IaaS cloud platform based on load balancing: A Q-learning approach

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) ◽

10.1109/icsess.2017.8343034 ◽

2017 ◽

Cited By ~ 2

Author(s):

Jiali Ren ◽

Lijuan Pang ◽

Yan Cheng

Keyword(s):

Load Balancing ◽

Dynamic Pricing ◽

Learning Approach ◽

Cloud Platform ◽

Q Learning ◽

Pricing Scheme

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A gradient-based reinforcement learning approach to dynamic pricing in partially-observable environments

Future Generation Computer Systems ◽

10.1016/j.future.2008.02.012 ◽

2008 ◽

Vol 24 (7) ◽

pp. 687-693 ◽

Cited By ~ 13

Author(s):

David Vengerov

Keyword(s):

Reinforcement Learning ◽

Dynamic Pricing ◽

Learning Approach ◽

Gradient Based ◽

Partially Observable

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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

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