Reinforcement Learning for Selective Key Applications in Power Systems:
Recent Advances and Future Challenges

Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges

27 January 2021

Na Li

Papers citing "Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges"

9 / 9 papers shown

Title
A Survey of Reinforcement Learning for Optimization in Automation Ahmad Farooq Kamran Iqbal OffRL 84 1 0 13 Feb 2025
Distributed Policy Gradient for Linear Quadratic Networked Control with Limited Communication Range Yuzi Yan Yuan-Chung Shen 21 0 0 05 Mar 2024
Control invariant set enhanced reinforcement learning for process control: improved sampling efficiency and guaranteed stability Song Bo Xunyuan Yin Jinfeng Liu OffRL 13 1 0 11 Apr 2023
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning Ramij-Raja Hossain Tianzhixi Yin Yan Du Renke Huang Jie Tan Wenhao Yu Yuan Liu Qiuhua Huang 38 0 0 06 Dec 2022
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control Zixuan Zhang Yuning Jiang Yuanming Shi Ye Shi Wei Chen 44 13 0 04 Oct 2022
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems Ting-Han Fan Xian Yeow Lee Yubo Wang 76 22 0 08 Sep 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,949 0 04 May 2020
On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation Harshat Kumar Alec Koppel Alejandro Ribeiro 99 79 0 18 Oct 2019
On the Origin of Deep Learning Haohan Wang Bhiksha Raj MedIm 3DV VLM 40 223 0 24 Feb 2017