MARLA-SG: Multi-Agent Reinforcement Learning Algorithm for Efficient Demand Response in Smart Grid

IEEE Access ◽

10.1109/access.2020.3038863 ◽

2020 ◽

Vol 8 ◽

pp. 210626-210639

Author(s):

Sally Aladdin ◽

Samah El-Tantawy ◽

Mostafa M. Fouda ◽

Adly S. Tag Eldien

Keyword(s):

Reinforcement Learning ◽

Demand Response ◽

Learning Algorithm ◽

Multi Agent ◽

Reinforcement Learning Algorithm

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Multi-agent Deep Reinforcement Learning Algorithm for Distributed Economic Dispatch in Smart Grid

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon43393.2020.9255238 ◽

2020 ◽

Author(s):

Lifu Ding ◽

Zhiyun Lin ◽

Gangfeng Yan

Keyword(s):

Reinforcement Learning ◽

Learning Algorithm ◽

Economic Dispatch ◽

Multi Agent ◽

Reinforcement Learning Algorithm

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A multi-agent reinforcement learning algorithm with fuzzy approximation for Distributed Stochastic Unit Commitment

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-182879 ◽

2019 ◽

Vol 37 (5) ◽

pp. 6613-6628

Author(s):

Ghorbani Farzaneh ◽

Afsharchi Mohsen ◽

Derhami Vali

Keyword(s):

Reinforcement Learning ◽

Unit Commitment ◽

Learning Algorithm ◽

Fuzzy Approximation ◽

Multi Agent ◽

Stochastic Unit Commitment ◽

Reinforcement Learning Algorithm

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A Novel Distributed Multi-Agent Reinforcement Learning Algorithm Against Jamming Attacks

IEEE Communications Letters ◽

10.1109/lcomm.2021.3097290 ◽

2021 ◽

Vol 25 (10) ◽

pp. 3204-3208

Author(s):

Ibrahim Elleuch ◽

Ali Pourranjbar ◽

Georges Kaddoum

Keyword(s):

Reinforcement Learning ◽

Learning Algorithm ◽

Jamming Attacks ◽

Multi Agent ◽

Reinforcement Learning Algorithm

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Q Value Reinforcement Learning Algorithm Based on Multi Agent System

Journal of Physics Conference Series ◽

10.1088/1742-6596/1069/1/012094 ◽

2018 ◽

Vol 1069 ◽

pp. 012094 ◽

Author(s):

Xijie Yin ◽

Dongxin Yang

Keyword(s):

Reinforcement Learning ◽

Learning Algorithm ◽

Multi Agent System ◽

Q Value ◽

Agent System ◽

Multi Agent ◽

Reinforcement Learning Algorithm

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An Enhanced Model-Free Reinforcement Learning Algorithm to Solve Nash Equilibrium for Multi-Agent Cooperative Game Systems

IEEE Access ◽

10.1109/access.2020.3043806 ◽

2020 ◽

Vol 8 ◽

pp. 223743-223755

Author(s):

Yuannan Jiang ◽

Fuxiao Tan

Keyword(s):

Reinforcement Learning ◽

Nash Equilibrium ◽

Cooperative Game ◽

Learning Algorithm ◽

Multi Agent ◽

Reinforcement Learning Algorithm

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Study on Multi-agent Simulation System Based on Reinforcement Learning Algorithm

2009 WRI World Congress on Computer Science and Information Engineering ◽

10.1109/csie.2009.234 ◽

2009 ◽

Author(s):

Shu Da Wang ◽

Shuo Ning Wang ◽

Wei Ping Zhang

Keyword(s):

Reinforcement Learning ◽

Learning Algorithm ◽

Simulation System ◽

Agent Simulation ◽

Multi Agent ◽

Reinforcement Learning Algorithm

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Multi-empirical Discriminant Multi-Agent Reinforcement Learning Algorithm Based on Intra-group Evolution

Journal of Physics Conference Series ◽

10.1088/1742-6596/1437/1/012038 ◽

2020 ◽

Vol 1437 ◽

pp. 012038

Author(s):

Zhong-lei Zhang ◽

Jiao-ling Zheng ◽

Chang-jie Zou

Keyword(s):

Reinforcement Learning ◽

Learning Algorithm ◽

Group Evolution ◽

Multi Agent ◽

Reinforcement Learning Algorithm

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Exploring Cooperative Multi-agent Reinforcement Learning Algorithm (CMRLA) for Intelligent Traffic Signal Control

Communications in Computer and Information Science - Smart Trends in Information Technology and Computer Communications ◽

10.1007/978-981-13-1423-0_9 ◽

2018 ◽

pp. 71-81

Author(s):

Deepak A. Vidhate ◽

Parag Kulkarni

Keyword(s):

Reinforcement Learning ◽

Learning Algorithm ◽

Traffic Signal ◽

Signal Control ◽

Traffic Signal Control ◽

Multi Agent ◽

Reinforcement Learning Algorithm

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A multi-agent reinforcement learning algorithm based on Stackelberg game

2017 6th Data Driven Control and Learning Systems (DDCLS) ◽

10.1109/ddcls.2017.8068163 ◽

2017 ◽

Author(s):

Chi Cheng ◽

Zhangqing Zhu ◽

Bo Xin ◽

Chunlin Chen

Keyword(s):

Reinforcement Learning ◽

Stackelberg Game ◽

Learning Algorithm ◽

Multi Agent ◽

Reinforcement Learning Algorithm

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Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response

European Journal of Operational Research ◽

10.1016/j.ejor.2020.09.018 ◽

2020 ◽

Author(s):

Hyun-Rok Lee ◽

Taesik Lee

Keyword(s):

Reinforcement Learning ◽

Disaster Response ◽

Learning Algorithm ◽

Multi Agent ◽

Partially Observable ◽

Reinforcement Learning Algorithm

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