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

50 / 105 papers shown
Title
Generative Artificial Intelligence in Robotic Manipulation: A Survey
Kun Zhang
Peng Yun
Jun Cen
Junhao Cai
DiDi Zhu
...
Qifeng Chen
Jia Pan
Wei Zhang
Bo Yang
Hua Chen
93
1
0
05 Mar 2025
Task Aware Dreamer for Task Generalization in Reinforcement Learning
Task Aware Dreamer for Task Generalization in Reinforcement Learning
Chengyang Ying
Zhongkai Hao
Xinning Zhou
Hang Su
Songming Liu
Dong Yan
Jun Zhu
137
3
0
17 Feb 2025
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
Xin Liu
Yaran Chen
Haoran Li
SSL
114
0
0
14 Dec 2024
Tra-MoE: Learning Trajectory Prediction Model from Multiple Domains for Adaptive Policy Conditioning
Tra-MoE: Learning Trajectory Prediction Model from Multiple Domains for Adaptive Policy Conditioning
Jiange Yang
Haoyi Zhu
Yanjie Wang
Gangshan Wu
Tong He
Limin Wang
123
3
0
21 Nov 2024
Grounding Video Models to Actions through Goal Conditioned Exploration
Grounding Video Models to Actions through Goal Conditioned Exploration
Yunhao Luo
Yilun Du
LM&Ro
VGen
99
2
0
11 Nov 2024
On-Robot Reinforcement Learning with Goal-Contrastive Rewards
On-Robot Reinforcement Learning with Goal-Contrastive Rewards
Ondrej Biza
Thomas Weng
Lingfeng Sun
Karl Schmeckpeper
Tarik Kelestemur
Yecheng Jason Ma
Robert Platt
Jan-Willem van de Meent
Lawson L. S. Wong
OffRL
65
0
0
25 Oct 2024
Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers
Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers
Jianxin Bi
Kelvin Lim
Kaiqi Chen
Yifei Huang
Harold Soh
53
1
0
10 Oct 2024
Open-World Reinforcement Learning over Long Short-Term Imagination
Open-World Reinforcement Learning over Long Short-Term Imagination
Jiajian Li
Q. Wang
Yunbo Wang
Xin Jin
Yang Li
Wenjun Zeng
Xiaokang Yang
OCL
VLM
99
2
0
04 Oct 2024
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image
  Generator
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator
Younggyo Seo
Kimin Lee
Fangchen Liu
Stephen James
Pieter Abbeel
VGen
47
28
0
15 Sep 2022
Patch-based Object-centric Transformers for Efficient Video Generation
Patch-based Object-centric Transformers for Efficient Video Generation
Wilson Yan
Ryogo Okumura
Stephen James
Pieter Abbeel
DiffM
ViT
63
6
0
08 Jun 2022
SURF: Semi-supervised Reward Learning with Data Augmentation for
  Feedback-efficient Preference-based Reinforcement Learning
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning
Jongjin Park
Younggyo Seo
Jinwoo Shin
Honglak Lee
Pieter Abbeel
Kimin Lee
17
82
0
18 Mar 2022
Masked Visual Pre-training for Motor Control
Masked Visual Pre-training for Motor Control
Tete Xiao
Ilija Radosavovic
Trevor Darrell
Jitendra Malik
SSL
64
243
0
11 Mar 2022
TransDreamer: Reinforcement Learning with Transformer World Models
TransDreamer: Reinforcement Learning with Transformer World Models
Changgu Chen
Yi-Fu Wu
Jaesik Yoon
Sungjin Ahn
OffRL
60
93
0
19 Feb 2022
Mask-based Latent Reconstruction for Reinforcement Learning
Mask-based Latent Reconstruction for Reinforcement Learning
Tao Yu
Zhizheng Zhang
Cuiling Lan
Yan Lu
Zhibo Chen
39
44
0
28 Jan 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
366
7,600
0
11 Nov 2021
URLB: Unsupervised Reinforcement Learning Benchmark
URLB: Unsupervised Reinforcement Learning Benchmark
Michael Laskin
Denis Yarats
Hao Liu
Kimin Lee
Albert Zhan
Kevin Lu
Catherine Cang
Lerrel Pinto
Pieter Abbeel
SSL
OffRL
49
134
0
28 Oct 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal
Max Schwarzer
Pablo Samuel Castro
Aaron Courville
Marc G. Bellemare
OffRL
70
652
0
30 Aug 2021
Mastering Visual Continuous Control: Improved Data-Augmented
  Reinforcement Learning
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
Denis Yarats
Rob Fergus
A. Lazaric
Lerrel Pinto
OffRL
46
344
0
20 Jul 2021
Model-Based Reinforcement Learning via Latent-Space Collocation
Model-Based Reinforcement Learning via Latent-Space Collocation
Oleh Rybkin
Chuning Zhu
Anusha Nagabandi
Kostas Daniilidis
Igor Mordatch
Sergey Levine
OffRL
44
38
0
24 Jun 2021
FitVid: Overfitting in Pixel-Level Video Prediction
FitVid: Overfitting in Pixel-Level Video Prediction
Mohammad Babaeizadeh
M. Saffar
Suraj Nair
Sergey Levine
Chelsea Finn
D. Erhan
VLM
82
83
0
24 Jun 2021
Pretraining Representations for Data-Efficient Reinforcement Learning
Pretraining Representations for Data-Efficient Reinforcement Learning
Max Schwarzer
Nitarshan Rajkumar
Michael Noukhovitch
Ankesh Anand
Laurent Charlin
Devon Hjelm
Philip Bachman
Aaron Courville
OffRL
56
114
0
09 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for
  Reinforcement Learning
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Tao Yu
Cuiling Lan
Wenjun Zeng
Mingxiao Feng
Zhizheng Zhang
Zhibo Chen
OffRL
43
46
0
08 Jun 2021
XIRL: Cross-embodiment Inverse Reinforcement Learning
XIRL: Cross-embodiment Inverse Reinforcement Learning
Kevin Zakka
Andy Zeng
Peter R. Florence
Jonathan Tompson
Jeannette Bohg
Debidatta Dwibedi
SSL
58
122
0
07 Jun 2021
DriveGAN: Towards a Controllable High-Quality Neural Simulation
DriveGAN: Towards a Controllable High-Quality Neural Simulation
S. Kim
Jonah Philion
Antonio Torralba
Sanja Fidler
41
112
0
30 Apr 2021
GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions
GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions
Chenfei Wu
Lun Huang
Qianxi Zhang
Binyang Li
Lei Ji
Fan Yang
Guillermo Sapiro
Nan Duan
DiffM
VGen
47
235
0
30 Apr 2021
VideoGPT: Video Generation using VQ-VAE and Transformers
VideoGPT: Video Generation using VQ-VAE and Transformers
Wilson Yan
Yunzhi Zhang
Pieter Abbeel
A. Srinivas
ViT
VGen
279
493
0
20 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Dmitry Kalashnikov
Jacob Varley
Yevgen Chebotar
Benjamin Swanson
Rico Jonschkowski
Chelsea Finn
Sergey Levine
Karol Hausman
OffRL
78
275
0
16 Apr 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human
  Videos
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos
Annie S. Chen
Suraj Nair
Chelsea Finn
56
139
0
31 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training
Behavior From the Void: Unsupervised Active Pre-Training
Hao Liu
Pieter Abbeel
VLM
SSL
62
196
0
08 Mar 2021
Reinforcement Learning with Prototypical Representations
Reinforcement Learning with Prototypical Representations
Denis Yarats
Rob Fergus
A. Lazaric
Lerrel Pinto
SSL
43
221
0
22 Feb 2021
State Entropy Maximization with Random Encoders for Efficient
  Exploration
State Entropy Maximization with Random Encoders for Efficient Exploration
Younggyo Seo
Lili Chen
Jinwoo Shin
Honglak Lee
Pieter Abbeel
Kimin Lee
36
123
0
18 Feb 2021
Reinforcement Learning with Videos: Combining Offline Observations with
  Interaction
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
Karl Schmeckpeper
Oleh Rybkin
Kostas Daniilidis
Sergey Levine
Chelsea Finn
OffRL
52
105
0
12 Nov 2020
Mastering Atari with Discrete World Models
Mastering Atari with Discrete World Models
Danijar Hafner
Timothy Lillicrap
Mohammad Norouzi
Jimmy Ba
DRL
71
834
0
05 Oct 2020
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
333
343
0
14 Sep 2020
Data-Efficient Reinforcement Learning with Self-Predictive
  Representations
Data-Efficient Reinforcement Learning with Self-Predictive Representations
Max Schwarzer
Ankesh Anand
Rishab Goel
R. Devon Hjelm
Aaron Courville
Philip Bachman
62
314
0
12 Jul 2020
dm_control: Software and Tasks for Continuous Control
dm_control: Software and Tasks for Continuous Control
Yuval Tassa
S. Tunyasuvunakool
Alistair Muldal
Yotam Doron
Piotr Trochim
...
Steven Bohez
J. Merel
Tom Erez
Timothy Lillicrap
N. Heess
LM&Ro
61
403
0
22 Jun 2020
Learning Invariant Representations for Reinforcement Learning without
  Reconstruction
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang
R. McAllister
Roberto Calandra
Y. Gal
Sergey Levine
OOD
SSL
78
469
0
18 Jun 2020
Semantic Visual Navigation by Watching YouTube Videos
Semantic Visual Navigation by Watching YouTube Videos
Matthew Chang
Arjun Gupta
Saurabh Gupta
27
81
0
17 Jun 2020
Deep Reinforcement and InfoMax Learning
Deep Reinforcement and InfoMax Learning
Bogdan Mazoure
Rémi Tachet des Combes
T. Doan
Philip Bachman
R. Devon Hjelm
AI4CE
51
109
0
12 Jun 2020
Learning to Simulate Dynamic Environments with GameGAN
Learning to Simulate Dynamic Environments with GameGAN
Seung Wook Kim
Yuhao Zhou
Jonah Philion
Antonio Torralba
Sanja Fidler
GAN
41
102
0
25 May 2020
Planning to Explore via Self-Supervised World Models
Planning to Explore via Self-Supervised World Models
Ramanan Sekar
Oleh Rybkin
Kostas Daniilidis
Pieter Abbeel
Danijar Hafner
Deepak Pathak
SSL
48
403
0
12 May 2020
Reinforcement Learning with Augmented Data
Reinforcement Learning with Augmented Data
Michael Laskin
Kimin Lee
Adam Stooke
Lerrel Pinto
Pieter Abbeel
A. Srinivas
OffRL
58
653
0
30 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
73
1,073
0
08 Apr 2020
Transformation-based Adversarial Video Prediction on Large-Scale Data
Transformation-based Adversarial Video Prediction on Large-Scale Data
Pauline Luc
Aidan Clark
Sander Dieleman
Diego de Las Casas
Yotam Doron
Albin Cassirer
Karen Simonyan
VGen
255
86
0
09 Mar 2020
Stochastic Latent Residual Video Prediction
Stochastic Latent Residual Video Prediction
Jean-Yves Franceschi
E. Delasalles
Mickaël Chen
Sylvain Lamprier
Patrick Gallinari
VGen
51
159
0
21 Feb 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
186
18,523
0
13 Feb 2020
Learning Predictive Models From Observation and Interaction
Learning Predictive Models From Observation and Interaction
Karl Schmeckpeper
Annie Xie
Oleh Rybkin
Stephen Tian
Kostas Daniilidis
Sergey Levine
Chelsea Finn
DRL
45
60
0
30 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNN
VLM
CLL
AI4CE
LRM
88
1,805
0
13 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination
Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner
Timothy Lillicrap
Jimmy Ba
Mohammad Norouzi
VLM
93
1,333
0
03 Dec 2019
Scalable methods for computing state similarity in deterministic Markov
  Decision Processes
Scalable methods for computing state similarity in deterministic Markov Decision Processes
Pablo Samuel Castro
33
136
0
21 Nov 2019
123
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