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Domain-adapted Learning and Imitation: DRL for Power Arbitrage

Domain-adapted Learning and Imitation: DRL for Power Arbitrage

19 January 2023
Yuanrong Wang
Vigneshwaran Swaminathan
Nikita P. Granger
Carlos Ros Perez
C. Michler
ArXivPDFHTML

Papers citing "Domain-adapted Learning and Imitation: DRL for Power Arbitrage"

7 / 7 papers shown
Title
Sparsification and Filtering for Spatial-temporal GNN in Multivariate
  Time-series
Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series
Yuanrong Wang
T. Aste
AI4TS
43
10
0
08 Mar 2022
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and
  Algorithms
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kai Zhang
Zhuoran Yang
Tamer Basar
167
1,208
0
24 Nov 2019
Autonomous Voltage Control for Grid Operation Using Deep Reinforcement
  Learning
Autonomous Voltage Control for Grid Operation Using Deep Reinforcement Learning
R. Diao
Zhiwei Wang
Di Shi
Qianyun Chang
Jiajun Duan
Xiaohu Zhang
AI4CE
31
87
0
24 Apr 2019
On-line Building Energy Optimization using Deep Reinforcement Learning
On-line Building Energy Optimization using Deep Reinforcement Learning
Elena Mocanu
Decebal Constantin Mocanu
Phuong H. Nguyen
A. Liotta
M. Webber
M. Gibescu
J. Slootweg
OffRL
62
468
0
18 Jul 2017
Why Deep Neural Networks for Function Approximation?
Why Deep Neural Networks for Function Approximation?
Shiyu Liang
R. Srikant
115
385
0
13 Oct 2016
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
308
13,214
0
09 Sep 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
114
12,201
0
19 Dec 2013
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