ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.12073
  4. Cited By
A Graph Policy Network Approach for Volt-Var Control in Power
  Distribution Systems

A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems

24 September 2021
Xian Yeow Lee
Soumik Sarkar
Yubo Wang
ArXivPDFHTML

Papers citing "A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems"

8 / 8 papers shown
Title
Learning to run a Power Network Challenge: a Retrospective Analysis
Learning to run a Power Network Challenge: a Retrospective Analysis
Antoine Marot
Benjamin Donnot
Gabriel Dulac-Arnold
A. Kelly
A. O'Sullivan
J. Viebahn
M. Awad
Isabelle M Guyon
P. Panciatici
Camilo Romero
29
77
0
02 Mar 2021
Transferable Graph Optimizers for ML Compilers
Transferable Graph Optimizers for ML Compilers
Yanqi Zhou
Sudip Roy
AmirAli Abdolrashidi
Daniel Wong
Peter C. Ma
...
Mangpo Phitchaya Phothilimtha
Shen Wang
Anna Goldie
Azalia Mirhoseini
James Laudon
GNN
14
53
0
21 Oct 2020
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural
  Networks
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
E. Meirom
Haggai Maron
Shie Mannor
Gal Chechik
21
48
0
11 Oct 2020
Graph Neural Networks and Reinforcement Learning for Behavior Generation
  in Semantic Environments
Graph Neural Networks and Reinforcement Learning for Behavior Generation in Semantic Environments
Patrick Hart
Alois Knoll
GNN
24
37
0
22 Jun 2020
Challenges and Countermeasures for Adversarial Attacks on Deep
  Reinforcement Learning
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Inaam Ilahi
Muhammad Usama
Junaid Qadir
M. Janjua
Ala I. Al-Fuqaha
D. Hoang
Dusit Niyato
AAML
68
133
0
27 Jan 2020
Deep Reinforcement Learning meets Graph Neural Networks: exploring a
  routing optimization use case
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case
Paul Almasan
J. Suárez-Varela
Krzysztof Rusek
Pere Barlet-Ros
A. Cabellos-Aparicio
GNN
AI4CE
74
186
0
16 Oct 2019
Constrained Policy Optimization
Constrained Policy Optimization
Joshua Achiam
David Held
Aviv Tamar
Pieter Abbeel
88
1,313
0
30 May 2017
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
157
8,805
0
04 Feb 2016
1