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Experience Selection Using Dynamics Similarity for Efficient
  Multi-Source Transfer Learning Between Robots

Experience Selection Using Dynamics Similarity for Efficient Multi-Source Transfer Learning Between Robots

29 March 2020
Michael J. Sorocky
Siqi Zhou
Angela P. Schoellig
ArXiv (abs)PDFHTML

Papers citing "Experience Selection Using Dynamics Similarity for Efficient Multi-Source Transfer Learning Between Robots"

6 / 6 papers shown
Title
Focused Adaptation of Dynamics Models for Deformable Object Manipulation
Focused Adaptation of Dynamics Models for Deformable Object Manipulation
Peter Mitrano
A. LaGrassa
Oliver Kroemer
Dmitry Berenson
AI4CE
80
12
0
28 Sep 2022
Bridging the Model-Reality Gap with Lipschitz Network Adaptation
Bridging the Model-Reality Gap with Lipschitz Network Adaptation
Siqi Zhou
Karime Pereida Perez
Wenda Zhao
Angela P. Schoellig
110
12
0
07 Dec 2021
On Assessing the Usefulness of Proxy Domains for Developing and
  Evaluating Embodied Agents
On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents
Anthony Courchesne
A. Censi
Liam Paull
39
1
0
29 Sep 2021
A Survey on Negative Transfer
A Survey on Negative Transfer
Wen Zhang
Lingfei Deng
Lei Zhang
Dongrui Wu
AAML
143
223
0
02 Sep 2020
To Share or Not to Share? Performance Guarantees and the Asymmetric
  Nature of Cross-Robot Experience Transfer
To Share or Not to Share? Performance Guarantees and the Asymmetric Nature of Cross-Robot Experience Transfer
Michael J. Sorocky
Siqi Zhou
Angela P. Schoellig
79
6
0
29 Jun 2020
A Kernel Two-sample Test for Dynamical Systems
A Kernel Two-sample Test for Dynamical Systems
Friedrich Solowjow
Dominik Baumann
Christian Fiedler
Andreas J. Jocham
Thomas Seel
Sebastian Trimpe
113
11
0
23 Apr 2020
1