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Learning Cross-Domain Correspondence for Control with Dynamics
  Cycle-Consistency

Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency

17 December 2020
Qiang Zhang
Tete Xiao
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
ArXivPDFHTML

Papers citing "Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency"

41 / 41 papers shown
Title
AnyBody: A Benchmark Suite for Cross-Embodiment Manipulation
AnyBody: A Benchmark Suite for Cross-Embodiment Manipulation
Meenal Parakh
Alexandre Kirchmeyer
Beining Han
Jia Deng
LM&Ro
84
0
0
21 May 2025
Robust Policies via Mid-Level Visual Representations: An Experimental
  Study in Manipulation and Navigation
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
B. Chen
Alexander Sax
Gene Lewis
Iro Armeni
Silvio Savarese
Amir Zamir
Jitendra Malik
Lerrel Pinto
29
43
0
13 Nov 2020
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real
Kanishka Rao
Chris Harris
A. Irpan
Sergey Levine
Julian Ibarz
Mohi Khansari
65
187
0
16 Jun 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
71
1,313
0
20 May 2020
Learning Predictive Representations for Deformable Objects Using
  Contrastive Estimation
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
Wilson Yan
Ashwin Vangipuram
Pieter Abbeel
Lerrel Pinto
53
188
0
11 Mar 2020
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human
  Videos
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
Laura M. Smith
Nikita Dhawan
Marvin Zhang
Pieter Abbeel
Sergey Levine
107
158
0
10 Dec 2019
Learning to Manipulate Deformable Objects without Demonstrations
Learning to Manipulate Deformable Objects without Demonstrations
Yilin Wu
Wilson Yan
Thanard Kurutach
Lerrel Pinto
Pieter Abbeel
OffRL
47
199
0
29 Oct 2019
Domain Adaptive Imitation Learning
Domain Adaptive Imitation Learning
Kuno Kim
Yihong Gu
Jiaming Song
Shengjia Zhao
Stefano Ermon
30
9
0
30 Sep 2019
BayesSim: adaptive domain randomization via probabilistic inference for
  robotics simulators
BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators
F. Ramos
Rafael Possas
Dieter Fox
33
156
0
04 Jun 2019
DeceptionNet: Network-Driven Domain Randomization
DeceptionNet: Network-Driven Domain Randomization
Sergey Zakharov
Wadim Kehl
Slobodan Ilic
OOD
32
91
0
04 Apr 2019
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via
  Randomized-to-Canonical Adaptation Networks
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
Stephen James
Paul Wohlhart
Mrinal Kalakrishnan
Dmitry Kalashnikov
A. Irpan
Julian Ibarz
Sergey Levine
R. Hadsell
Konstantinos Bousmalis
72
446
0
18 Dec 2018
Recycle-GAN: Unsupervised Video Retargeting
Recycle-GAN: Unsupervised Video Retargeting
Aayush Bansal
Shugao Ma
Deva Ramanan
Yaser Sheikh
VGen
DiffM
45
297
0
15 Aug 2018
Learning Dexterous In-Hand Manipulation
Learning Dexterous In-Hand Manipulation
OpenAI OpenAI
Marcin Andrychowicz
Bowen Baker
Maciek Chociej
Rafal Jozefowicz
...
Szymon Sidor
Joshua Tobin
Peter Welinder
Lilian Weng
Wojciech Zaremba
70
1,865
0
01 Aug 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
139
5,121
0
26 Feb 2018
Cross-Domain Transfer in Reinforcement Learning using Target Apprentice
Cross-Domain Transfer in Reinforcement Learning using Target Apprentice
Girish Joshi
Girish Chowdhary
23
31
0
22 Jan 2018
DeepMind Control Suite
DeepMind Control Suite
Yuval Tassa
Yotam Doron
Alistair Muldal
Tom Erez
Yazhe Li
...
A. Abdolmaleki
J. Merel
Andrew Lefrancq
Timothy Lillicrap
Martin Riedmiller
ELM
LM&Ro
BDL
103
1,116
0
02 Jan 2018
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
112
2,985
0
08 Nov 2017
Asymmetric Actor Critic for Image-Based Robot Learning
Asymmetric Actor Critic for Image-Based Robot Learning
Lerrel Pinto
Marcin Andrychowicz
Peter Welinder
Wojciech Zaremba
Pieter Abbeel
OffRL
38
367
0
18 Oct 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Xue Bin Peng
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
82
1,355
0
18 Oct 2017
GeneSIS-RT: Generating Synthetic Images for training Secondary
  Real-world Tasks
GeneSIS-RT: Generating Synthetic Images for training Secondary Real-world Tasks
Gregory J. Stein
Nicholas Roy
45
32
0
11 Oct 2017
Using Simulation and Domain Adaptation to Improve Efficiency of Deep
  Robotic Grasping
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
Konstantinos Bousmalis
A. Irpan
Paul Wohlhart
Yunfei Bai
Matthew Kelcey
...
Julian Ibarz
P. Pastor
K. Konolige
Sergey Levine
Vincent Vanhoucke
OOD
69
654
0
22 Sep 2017
Imitation from Observation: Learning to Imitate Behaviors from Raw Video
  via Context Translation
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
YuXuan Liu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
75
377
0
11 Jul 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
220
2,307
0
05 Jul 2017
Time-Contrastive Networks: Self-Supervised Learning from Video
Time-Contrastive Networks: Self-Supervised Learning from Video
P. Sermanet
Corey Lynch
Yevgen Chebotar
Jasmine Hsu
Eric Jang
S. Schaal
Sergey Levine
SSL
85
820
0
23 Apr 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
84
5,556
0
30 Mar 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
154
2,948
0
20 Mar 2017
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under
  Partial Observability
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
Shayegan Omidshafiei
Jason Pazis
Chris Amato
Jonathan P. How
J. Vian
71
497
0
17 Mar 2017
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement
  Learning
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning
Abhishek Gupta
Coline Devin
YuXuan Liu
Pieter Abbeel
Sergey Levine
45
268
0
08 Mar 2017
Unsupervised Image-to-Image Translation Networks
Unsupervised Image-to-Image Translation Networks
Ming-Yuan Liu
Thomas Breuel
Jan Kautz
VLM
120
2,730
0
02 Mar 2017
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
279
814
0
13 Nov 2016
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
Successor Features for Transfer in Reinforcement Learning
Successor Features for Transfer in Reinforcement Learning
André Barreto
Will Dabney
Rémi Munos
Jonathan J. Hunt
Tom Schaul
H. V. Hasselt
David Silver
30
566
0
16 Jun 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
43
2,428
0
15 Jun 2016
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
164
5,048
0
05 Jun 2016
Learning Dense Correspondence via 3D-guided Cycle Consistency
Learning Dense Correspondence via 3D-guided Cycle Consistency
Tinghui Zhou
Philipp Krahenbuhl
Mathieu Aubry
Qi-Xing Huang
Alexei A. Efros
111
385
0
18 Apr 2016
The Curious Robot: Learning Visual Representations via Physical
  Interactions
The Curious Robot: Learning Visual Representations via Physical Interactions
Lerrel Pinto
Dhiraj Gandhi
Yuanfeng Han
Yong‐Lae Park
Abhinav Gupta
60
186
0
05 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.2K
192,638
0
10 Dec 2015
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints
Eric Tzeng
Coline Devin
Judy Hoffman
Chelsea Finn
Pieter Abbeel
Sergey Levine
Kate Saenko
Trevor Darrell
OOD
48
139
0
23 Nov 2015
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
Emilio Parisotto
Jimmy Lei Ba
Ruslan Salakhutdinov
OffRL
61
594
0
19 Nov 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
171
13,174
0
09 Sep 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
673
149,474
0
22 Dec 2014
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