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Reinforcement Learning with Action-Free Pre-Training from Videos

Reinforcement Learning with Action-Free Pre-Training from Videos

25 March 2022
Younggyo Seo
Kimin Lee
Stephen James
Pieter Abbeel
    SSL
    OnRL
ArXivPDFHTML

Papers citing "Reinforcement Learning with Action-Free Pre-Training from Videos"

50 / 105 papers shown
Title
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
99
11,959
0
13 Nov 2019
High Fidelity Video Prediction with Large Stochastic Recurrent Neural
  Networks
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
Ruben Villegas
Arkanath Pathak
Harini Kannan
D. Erhan
Quoc V. Le
Honglak Lee
VGen
31
137
0
05 Nov 2019
RoboNet: Large-Scale Multi-Robot Learning
RoboNet: Large-Scale Multi-Robot Learning
Sudeep Dasari
F. Ebert
Stephen Tian
Suraj Nair
Bernadette Bucher
Karl Schmeckpeper
Siddharth Singh
Sergey Levine
Chelsea Finn
LM&Ro
53
301
0
24 Oct 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
189
1,145
0
24 Oct 2019
Solving Rubik's Cube with a Robot Hand
Solving Rubik's Cube with a Robot Hand
OpenAI
Ilge Akkaya
Marcin Andrychowicz
Maciek Chociej
Ma-teusz Litwin
...
Peter Welinder
Lilian Weng
Qiming Yuan
Wojciech Zaremba
Lei Zhang
ODL
60
1,215
0
16 Oct 2019
Improving Sample Efficiency in Model-Free Reinforcement Learning from
  Images
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Denis Yarats
Amy Zhang
Ilya Kostrikov
Brandon Amos
Joelle Pineau
Rob Fergus
DRL
83
444
0
02 Oct 2019
RLBench: The Robot Learning Benchmark & Learning Environment
RLBench: The Robot Learning Benchmark & Learning Environment
Stephen James
Z. Ma
David Rovick Arrojo
Andrew J. Davison
SSL
VLM
OffRL
87
537
0
26 Sep 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
178
8,386
0
19 Jun 2019
Unsupervised State Representation Learning in Atari
Unsupervised State Representation Learning in Atari
Ankesh Anand
Evan Racah
Sherjil Ozair
Yoshua Bengio
Marc-Alexandre Côté
R. Devon Hjelm
SSL
51
254
0
19 Jun 2019
Efficient Exploration via State Marginal Matching
Efficient Exploration via State Marginal Matching
Lisa Lee
Benjamin Eysenbach
Emilio Parisotto
Eric Xing
Sergey Levine
Ruslan Salakhutdinov
94
242
0
12 Jun 2019
Self-Supervised Exploration via Disagreement
Self-Supervised Exploration via Disagreement
Deepak Pathak
Dhiraj Gandhi
Abhinav Gupta
SSL
52
377
0
10 Jun 2019
DeepMDP: Learning Continuous Latent Space Models for Representation
  Learning
DeepMDP: Learning Continuous Latent Space Models for Representation Learning
Carles Gelada
Saurabh Kumar
Jacob Buckman
Ofir Nachum
Marc G. Bellemare
BDL
51
283
0
06 Jun 2019
Scaling Autoregressive Video Models
Scaling Autoregressive Video Models
Dirk Weissenborn
Oscar Täckström
Jakob Uszkoreit
DiffM
VGen
66
200
0
06 Jun 2019
Model-Based Reinforcement Learning for Atari
Model-Based Reinforcement Learning for Atari
Lukasz Kaiser
Mohammad Babaeizadeh
Piotr Milos
B. Osinski
R. Campbell
...
Sergey Levine
Afroz Mohiuddin
Ryan Sepassi
George Tucker
Henryk Michalewski
OffRL
98
851
0
01 Mar 2019
Provably Efficient Maximum Entropy Exploration
Provably Efficient Maximum Entropy Exploration
Elad Hazan
Sham Kakade
Karan Singh
A. V. Soest
52
295
0
06 Dec 2018
Learning Latent Dynamics for Planning from Pixels
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner
Timothy Lillicrap
Ian S. Fischer
Ruben Villegas
David R Ha
Honglak Lee
James Davidson
BDL
63
1,416
0
12 Nov 2018
Exploration by Random Network Distillation
Exploration by Random Network Distillation
Yuri Burda
Harrison Edwards
Amos Storkey
Oleg Klimov
86
1,310
0
30 Oct 2018
FutureGAN: Anticipating the Future Frames of Video Sequences using
  Spatio-Temporal 3d Convolutions in Progressively Growing GANs
FutureGAN: Anticipating the Future Frames of Video Sequences using Spatio-Temporal 3d Convolutions in Progressively Growing GANs
Sandra Aigner
Marco Korner
AI4TS
42
74
0
02 Oct 2018
Learning Actionable Representations from Visual Observations
Learning Actionable Representations from Visual Observations
Debidatta Dwibedi
Jonathan Tompson
Corey Lynch
P. Sermanet
SSL
35
80
0
02 Aug 2018
Generative Adversarial Imitation from Observation
Generative Adversarial Imitation from Observation
F. Torabi
Garrett A. Warnell
Peter Stone
GAN
45
243
0
17 Jul 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
215
10,152
0
10 Jul 2018
Video Prediction with Appearance and Motion Conditions
Video Prediction with Appearance and Motion Conditions
Y. Jang
Gunhee Kim
Yale Song
VGen
57
44
0
07 Jul 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
54
270
0
29 May 2018
Imitating Latent Policies from Observation
Imitating Latent Policies from Observation
Ashley D. Edwards
Himanshu Sahni
Yannick Schroecker
Charles Isbell
53
137
0
21 May 2018
Stochastic Adversarial Video Prediction
Stochastic Adversarial Video Prediction
Alex X. Lee
Richard Y. Zhang
F. Ebert
Pieter Abbeel
Chelsea Finn
Sergey Levine
DRL
VGen
GAN
44
450
0
04 Apr 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
187
3,272
0
21 Mar 2018
Stochastic Video Generation with a Learned Prior
Stochastic Video Generation with a Learned Prior
Emily L. Denton
Rob Fergus
VGen
68
525
0
21 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
194
8,236
0
04 Jan 2018
Stochastic Variational Video Prediction
Stochastic Variational Video Prediction
Mohammad Babaeizadeh
Chelsea Finn
D. Erhan
R. Campbell
Sergey Levine
DRL
VGen
57
540
0
30 Oct 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
77
377
0
11 Jul 2017
The "something something" video database for learning and evaluating
  visual common sense
The "something something" video database for learning and evaluating visual common sense
Raghav Goyal
Samira Ebrahimi Kahou
Vincent Michalski
Joanna Materzynska
S. Westphal
...
Moritz Mueller-Freitag
F. Hoppe
Christian Thurau
Ingo Bax
Roland Memisevic
VLM
66
1,507
0
13 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
430
129,831
0
12 Jun 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
93
2,416
0
15 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
85
820
0
23 Apr 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
166
2,948
0
20 Mar 2017
Parallel Multiscale Autoregressive Density Estimation
Parallel Multiscale Autoregressive Density Estimation
Scott E. Reed
Aaron van den Oord
Nal Kalchbrenner
Sergio Gomez Colmenarejo
Ziyun Wang
Dan Belov
Nando de Freitas
BDL
57
204
0
10 Mar 2017
Count-Based Exploration with Neural Density Models
Count-Based Exploration with Neural Density Models
Georg Ostrovski
Marc G. Bellemare
Aaron van den Oord
Rémi Munos
71
616
0
03 Mar 2017
Reinforcement Learning with Unsupervised Auxiliary Tasks
Reinforcement Learning with Unsupervised Auxiliary Tasks
Max Jaderberg
Volodymyr Mnih
Wojciech M. Czarnecki
Tom Schaul
Joel Z Leibo
David Silver
Koray Kavukcuoglu
SSL
41
1,225
0
16 Nov 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement
  Learning
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang
Rein Houthooft
Davis Foote
Adam Stooke
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
OffRL
73
764
0
15 Nov 2016
Video Pixel Networks
Video Pixel Networks
Nal Kalchbrenner
Aaron van den Oord
Karen Simonyan
Ivo Danihelka
Oriol Vinyals
Alex Graves
Koray Kavukcuoglu
50
423
0
03 Oct 2016
Generating Videos with Scene Dynamics
Generating Videos with Scene Dynamics
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
GAN
VGen
140
1,464
0
08 Sep 2016
Unifying Count-Based Exploration and Intrinsic Motivation
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare
S. Srinivasan
Georg Ostrovski
Tom Schaul
D. Saxton
Rémi Munos
156
1,465
0
06 Jun 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
324
18,300
0
27 May 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised
  Learning
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
75
931
0
25 May 2016
Unsupervised Learning for Physical Interaction through Video Prediction
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn
Ian Goodfellow
Sergey Levine
48
1,042
0
23 May 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
128
2,965
0
30 Mar 2016
Deep Spatial Autoencoders for Visuomotor Learning
Deep Spatial Autoencoders for Visuomotor Learning
Chelsea Finn
X. Tan
Yan Duan
Trevor Darrell
Sergey Levine
Pieter Abbeel
SSL
35
551
0
21 Sep 2015
Action-Conditional Video Prediction using Deep Networks in Atari Games
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh
Xiaoxiao Guo
Honglak Lee
Richard L. Lewis
Satinder Singh
74
852
0
31 Jul 2015
High-Dimensional Continuous Control Using Generalized Advantage
  Estimation
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
OffRL
38
3,368
0
08 Jun 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
210
3,418
0
02 Apr 2015
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