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Design and implementation of an environment for Learning to Run a Power
  Network (L2RPN)

Design and implementation of an environment for Learning to Run a Power Network (L2RPN)

6 April 2021
Marvin Lerousseau
ArXivPDFHTML

Papers citing "Design and implementation of an environment for Learning to Run a Power Network (L2RPN)"

4 / 4 papers shown
Title
Reinforcement Learning for Sustainable Energy: A Survey
Reinforcement Learning for Sustainable Energy: A Survey
Koen Ponse
Felix Kleuker
Márton Fejér
Álvaro Serra-Gómez
Aske Plaat
Thomas M. Moerland
OffRL
AI4CE
38
1
0
26 Jul 2024
Curriculum Based Reinforcement Learning of Grid Topology Controllers to
  Prevent Thermal Cascading
Curriculum Based Reinforcement Learning of Grid Topology Controllers to Prevent Thermal Cascading
A. R. Ramapuram Matavalam
K. Guddanti
Yang Weng
V. Ajjarapu
AI4CE
8
13
0
18 Dec 2021
Optimization of computational budget for power system risk assessment
Optimization of computational budget for power system risk assessment
Benjamin Donnot
Isabelle M Guyon
Antoine Marot
Marc Schoenauer
P. Panciatici
19
12
0
03 May 2018
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
245
7,633
0
03 Jul 2012
1