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Learning Invariant Feature Spaces to Transfer Skills with Reinforcement
  Learning

Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning

8 March 2017
Abhishek Gupta
Coline Devin
YuXuan Liu
Pieter Abbeel
Sergey Levine
ArXivPDFHTML

Papers citing "Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning"

12 / 12 papers shown
Title
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
Pingcheng Jian
Easop Lee
Zachary I. Bell
Michael M. Zavlanos
Boyuan Chen
134
1
0
03 Jan 2025
Collaborative Deep Reinforcement Learning
Collaborative Deep Reinforcement Learning
Kaixiang Lin
Shu Wang
Jiayu Zhou
44
21
0
19 Feb 2017
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Andrei A. Rusu
Matej Vecerík
Thomas Rothörl
N. Heess
Razvan Pascanu
R. Hadsell
66
532
0
13 Oct 2016
Learning Modular Neural Network Policies for Multi-Task and Multi-Robot
  Transfer
Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer
Coline Devin
Abhishek Gupta
Trevor Darrell
Pieter Abbeel
Sergey Levine
OffRL
66
397
0
22 Sep 2016
Learning Transferable Policies for Monocular Reactive MAV Control
Learning Transferable Policies for Monocular Reactive MAV Control
S. Daftry
J. Andrew Bagnell
Martial Hebert
44
85
0
01 Aug 2016
Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLL
AI4CE
46
2,427
0
15 Jun 2016
Reuse of Neural Modules for General Video Game Playing
Reuse of Neural Modules for General Video Game Playing
Alexander Braylan
Mark Hollenbeck
Elliot Meyerson
Risto Miikkulainen
25
23
0
04 Dec 2015
Simultaneous Deep Transfer Across Domains and Tasks
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng
Judy Hoffman
Trevor Darrell
Kate Saenko
OOD
64
1,367
0
08 Oct 2015
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
193
13,174
0
09 Sep 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
345
9,418
0
28 May 2015
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
228
3,418
0
02 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
846
149,474
0
22 Dec 2014
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