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Symmetry reduction for deep reinforcement learning active control of
  chaotic spatiotemporal dynamics

Symmetry reduction for deep reinforcement learning active control of chaotic spatiotemporal dynamics

9 April 2021
Kevin Zeng
M. Graham
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Symmetry reduction for deep reinforcement learning active control of chaotic spatiotemporal dynamics"

15 / 15 papers shown
Title
Building symmetries into data-driven manifold dynamics models for complex flows: application to two-dimensional Kolmogorov flow
Building symmetries into data-driven manifold dynamics models for complex flows: application to two-dimensional Kolmogorov flow
Carlos E. Pérez De Jesús
Alec J. Linot
Michael D. Graham
AI4CE
87
2
0
15 Dec 2023
Addressing imperfect symmetry: A novel symmetry-learning actor-critic extension
Addressing imperfect symmetry: A novel symmetry-learning actor-critic extension
Miguel Abreu
Luis Paulo Reis
Nuno Lau
104
6
0
06 Sep 2023
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNNVLMCLLAI4CELRM
169
1,838
0
13 Dec 2019
Restoring Chaos Using Deep Reinforcement Learning
Restoring Chaos Using Deep Reinforcement Learning
Sumit Vashishtha
S. Verma
AI4CE
27
14
0
27 Nov 2019
Universal Invariant and Equivariant Graph Neural Networks
Universal Invariant and Equivariant Graph Neural Networks
Nicolas Keriven
Gabriel Peyré
196
294
0
13 May 2019
Universal approximations of permutation invariant/equivariant functions
  by deep neural networks
Universal approximations of permutation invariant/equivariant functions by deep neural networks
Akiyoshi Sannai
Yuuki Takai
Matthieu Cordonnier
76
68
0
05 Mar 2019
Efficient collective swimming by harnessing vortices through deep
  reinforcement learning
Efficient collective swimming by harnessing vortices through deep reinforcement learning
S. Verma
G. Novati
Petros Koumoutsakos
65
365
0
07 Feb 2018
Equivariance Through Parameter-Sharing
Equivariance Through Parameter-Sharing
Siamak Ravanbakhsh
J. Schneider
Barnabás Póczós
100
258
0
27 Feb 2017
Flow Navigation by Smart Microswimmers via Reinforcement Learning
Flow Navigation by Smart Microswimmers via Reinforcement Learning
S. Colabrese
K. Gustavsson
A. Celani
Luca Biferale
63
158
0
30 Jan 2017
A statistical learning strategy for closed-loop control of fluid flows
A statistical learning strategy for closed-loop control of fluid flows
F. Guéniat
L. Mathelin
M. Y. Hussaini
41
35
0
11 Apr 2016
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
176
1,946
0
24 Feb 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Sander Dieleman
J. Fauw
Koray Kavukcuoglu
123
364
0
08 Feb 2016
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
318
7,401
0
05 Jun 2015
Rotation-invariant convolutional neural networks for galaxy morphology
  prediction
Rotation-invariant convolutional neural networks for galaxy morphology prediction
Sander Dieleman
K. Willett
J. Dambre
108
653
0
24 Mar 2015
Understanding image representations by measuring their equivariance and
  equivalence
Understanding image representations by measuring their equivariance and equivalence
Karel Lenc
Andrea Vedaldi
SSLFAtt
122
537
0
21 Nov 2014
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