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Adversarial Training for a Continuous Robustness Control Problem in
  Power Systems
v1v2v3 (latest)

Adversarial Training for a Continuous Robustness Control Problem in Power Systems

21 December 2020
Loic Omnes
Antoine Marot
Benjamin Donnot
    AAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial Training for a Continuous Robustness Control Problem in Power Systems"

8 / 8 papers shown
HUGO -- Highlighting Unseen Grid Options: Combining Deep Reinforcement
  Learning with a Heuristic Target Topology Approach
HUGO -- Highlighting Unseen Grid Options: Combining Deep Reinforcement Learning with a Heuristic Target Topology Approach
Malte Lehna
Clara Holzhuter
Sven Tomforde
Christoph Scholz
255
8
0
01 May 2024
Bayesian Reinforcement Learning for Automatic Voltage Control under
  Cyber-Induced Uncertainty
Bayesian Reinforcement Learning for Automatic Voltage Control under Cyber-Induced Uncertainty
A. Sahu
K. Davis
211
0
0
25 May 2023
Managing power grids through topology actions: A comparative study
  between advanced rule-based and reinforcement learning agents
Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agentsEnergy and AI (EA), 2023
Malte Lehna
J. Viebahn
Christoph Scholz
Antoine Marot
Sven Tomforde
391
32
0
03 Apr 2023
A Search-Based Testing Approach for Deep Reinforcement Learning Agents
A Search-Based Testing Approach for Deep Reinforcement Learning AgentsIEEE Transactions on Software Engineering (TSE), 2022
Amirhossein Zolfagharian
Manel Abdellatif
Lionel C. Briand
M. Bagherzadeh
Ramesh S
502
38
0
15 Jun 2022
Learning to run a power network with trust
Learning to run a power network with trustElectric power systems research (EPSR), 2021
Antoine Marot
Benjamin Donnot
Karim Chaouache
Ying-Ling Lu
Qiuhua Huang
Ramij-Raja Hossain
J. Cremer
269
35
0
21 Oct 2021
Improving Robustness of Reinforcement Learning for Power System Control
  with Adversarial Training
Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training
Alexander Pan
Yongkyun Lee
Huan Zhang
Yize Chen
Yuanyuan Shi
AAML
294
20
0
18 Oct 2021
Learning to run a Power Network Challenge: a Retrospective Analysis
Learning to run a Power Network Challenge: a Retrospective AnalysisNeural Information Processing Systems (NeurIPS), 2021
Antoine Marot
Benjamin Donnot
Gabriel Dulac-Arnold
A. Kelly
A. O'Sullivan
J. Viebahn
M. Awad
Isabelle M Guyon
P. Panciatici
Camilo Romero
395
97
0
02 Mar 2021
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 ChallengesIEEE Transactions on Smart Grid (IEEE Trans. Smart Grid), 2021
Xin Chen
Guannan Qu
Yujie Tang
S. Low
Na Li
669
345
0
27 Jan 2021
1
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