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Can Euclidean Symmetry be Leveraged in Reinforcement Learning and
  Planning?

Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning?

17 July 2023
Linfeng Zhao
Owen Howell
Jung Yeon Park
Xu Zhu
Robin G. Walters
Lawson L. S. Wong
ArXivPDFHTML

Papers citing "Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning?"

6 / 6 papers shown
Title
Equivariant Action Sampling for Reinforcement Learning and Planning
Equivariant Action Sampling for Reinforcement Learning and Planning
Linfeng Zhao
Owen Howell
Xupeng Zhu
Jung Yeon Park
Zhewen Zhang
Robin Walters
Lawson L. S. Wong
89
2
0
16 Dec 2024
Exploiting Different Symmetries for Trajectory Tracking Control with
  Application to Quadrotors
Exploiting Different Symmetries for Trajectory Tracking Control with Application to Quadrotors
M. Hampsey
Pieter van Goor
T. Hamel
Robert E. Mahony
14
6
0
11 Jul 2022
Sample Efficient Grasp Learning Using Equivariant Models
Sample Efficient Grasp Learning Using Equivariant Models
Xu Zhu
Dian Wang
Ondrej Biza
Guanang Su
Robin G. Walters
Robert W. Platt
DRL
81
66
0
18 Feb 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
166
1,095
0
27 Apr 2021
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLT
AI4CE
149
308
0
05 Nov 2018
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
255
1,394
0
01 Dec 2016
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