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Self-Supervised Disentangled Representation Learning for Third-Person
  Imitation Learning

Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning

2 August 2021
Jinghuan Shang
Michael S. Ryoo
    SSL
ArXivPDFHTML

Papers citing "Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning"

32 / 32 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
275
30,109
0
01 Mar 2022
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
253
4,054
0
20 Nov 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
366
6,806
0
13 Jun 2020
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
89
1,087
0
08 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
366
18,752
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
199
12,074
0
13 Nov 2019
Contextual Imagined Goals for Self-Supervised Robotic Learning
Contextual Imagined Goals for Self-Supervised Robotic Learning
Ashvin Nair
Shikhar Bahl
Alexander Khazatsky
Vitchyr H. Pong
Glen Berseth
Sergey Levine
SSL
72
68
0
23 Oct 2019
Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video
Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video
Oier Mees
Markus Merklinger
Gabriel Kalweit
Wolfram Burgard
SSL
26
32
0
21 Oct 2019
Task-Relevant Adversarial Imitation Learning
Task-Relevant Adversarial Imitation Learning
Konrad Zolna
Scott E. Reed
Alexander Novikov
Sergio Gomez Colmenarejo
David Budden
Serkan Cabi
Misha Denil
Nando de Freitas
Ziyun Wang
GAN
143
61
0
02 Oct 2019
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
William H. Guss
Brandon Houghton
Nicholay Topin
Phillip Wang
Cayden R. Codel
Manuela Veloso
Ruslan Salakhutdinov
OffRL
62
225
0
29 Jul 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
166
2,403
0
13 Jun 2019
Domain Agnostic Learning with Disentangled Representations
Domain Agnostic Learning with Disentangled Representations
Xingchao Peng
Zijun Huang
Ximeng Sun
Kate Saenko
OOD
DRL
76
264
0
28 Apr 2019
Gait Recognition via Disentangled Representation Learning
Gait Recognition via Disentangled Representation Learning
Ziyuan Zhang
Luan Tran
Xi Yin
Yousef Atoum
Xiaoming Liu
J. Wan
Nanxin Wang
DRL
CVBM
49
226
0
09 Apr 2019
Disentangled Representation Learning for 3D Face Shape
Disentangled Representation Learning for 3D Face Shape
Zi-Hang Jiang
Qianyi Wu
Keyu Chen
Juyong Zhang
DRL
3DH
CoGe
CVBM
42
110
0
26 Feb 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
577
10,555
0
12 Dec 2018
Learning Actionable Representations from Visual Observations
Learning Actionable Representations from Visual Observations
Debidatta Dwibedi
Jonathan Tompson
Corey Lynch
P. Sermanet
SSL
44
80
0
02 Aug 2018
Playing hard exploration games by watching YouTube
Playing hard exploration games by watching YouTube
Y. Aytar
Tobias Pfaff
David Budden
T. Paine
Ziyun Wang
Nando de Freitas
63
271
0
29 May 2018
Imitating Latent Policies from Observation
Imitating Latent Policies from Observation
Ashley D. Edwards
Himanshu Sahni
Yannick Schroecker
Charles Isbell
77
138
0
21 May 2018
Isolating Sources of Disentanglement in Variational Autoencoders
Isolating Sources of Disentanglement in Variational Autoencoders
T. Chen
Xuechen Li
Roger C. Grosse
David Duvenaud
DRL
59
447
0
14 Feb 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
496
19,065
0
20 Jul 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
111
380
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
248
2,328
0
05 Jul 2017
Unsupervised Learning of Disentangled Representations from Video
Unsupervised Learning of Disentangled Representations from Video
Emily L. Denton
Vighnesh Birodkar
DRL
CoGe
OOD
76
552
0
31 May 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
101
826
0
23 Apr 2017
Neural Face Editing with Intrinsic Image Disentangling
Neural Face Editing with Intrinsic Image Disentangling
Zhixin Shu
Ersin Yumer
Sunil Hadap
Kalyan Sunkavalli
Eli Shechtman
Dimitris Samaras
CVBM
DRL
GAN
95
285
0
13 Apr 2017
In Defense of the Triplet Loss for Person Re-Identification
In Defense of the Triplet Loss for Person Re-Identification
Alexander Hermans
Lucas Beyer
Bastian Leibe
DML
78
3,206
0
22 Mar 2017
Third-Person Imitation Learning
Third-Person Imitation Learning
Bradly C. Stadie
Pieter Abbeel
Ilya Sutskever
62
235
0
06 Mar 2017
Cross-Modal Scene Networks
Cross-Modal Scene Networks
Y. Aytar
Lluis Castrejon
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
SSL
67
114
0
27 Oct 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
157
4,235
0
12 Jun 2016
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
140
3,106
0
10 Jun 2016
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
164
2,786
0
19 May 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,933
0
20 Dec 2013
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