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Offline Reinforcement Learning from Images with Latent Space Models

Offline Reinforcement Learning from Images with Latent Space Models

21 December 2020
Rafael Rafailov
Tianhe Yu
Aravind Rajeswaran
Chelsea Finn
    OffRL
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Papers citing "Offline Reinforcement Learning from Images with Latent Space Models"

50 / 57 papers shown
Title
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning
Shiguang Sun
Hanbo Zhang
Zeyang Liu
Xinrui Yang
Lipeng Wan
Bing Yan
Xingyu Chen
Xuguang Lan
124
0
0
05 Apr 2025
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
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
Marvin Alles
Philip Becker-Ehmck
Patrick van der Smagt
Maximilian Karl
OffRL
64
1
0
07 Nov 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
Jianlan Luo
Zheyuan Hu
Charles Xu
You Liang Tan
Jacob Berg
Archit Sharma
S. Schaal
Chelsea Finn
Abhishek Gupta
Sergey Levine
OffRL
OnRL
51
44
0
29 Jan 2024
Batch Exploration with Examples for Scalable Robotic Reinforcement
  Learning
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning
Annie S. Chen
H. Nam
Suraj Nair
Chelsea Finn
OffRL
48
25
0
22 Oct 2020
Model-Based Offline Planning
Model-Based Offline Planning
Arthur Argenson
Gabriel Dulac-Arnold
OffRL
50
152
0
12 Aug 2020
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
43
83
0
12 Aug 2020
Provably Good Batch Reinforcement Learning Without Great Exploration
Provably Good Batch Reinforcement Learning Without Great Exploration
Yao Liu
Adith Swaminathan
Alekh Agarwal
Emma Brunskill
OffRL
87
105
0
16 Jul 2020
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
Çağlar Gülçehre
Ziyun Wang
Alexander Novikov
T. Paine
Sergio Gomez Colmenarejo
...
Matthew W. Hoffman
Ofir Nachum
George Tucker
N. Heess
Nando de Freitas
OffRL
46
71
0
24 Jun 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
66
403
0
22 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar
Aurick Zhou
George Tucker
Sergey Levine
OffRL
OnRL
94
1,780
0
08 Jun 2020
Deployment-Efficient Reinforcement Learning via Model-Based Offline
  Optimization
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
T. Matsushima
Hiroki Furuta
Y. Matsuo
Ofir Nachum
S. Gu
OffRL
36
147
0
05 Jun 2020
MOPO: Model-based Offline Policy Optimization
MOPO: Model-based Offline Policy Optimization
Tianhe Yu
G. Thomas
Lantao Yu
Stefano Ermon
James Zou
Sergey Levine
Chelsea Finn
Tengyu Ma
OffRL
65
759
0
27 May 2020
MOReL : Model-Based Offline Reinforcement Learning
MOReL : Model-Based Offline Reinforcement Learning
Rahul Kidambi
Aravind Rajeswaran
Praneeth Netrapalli
Thorsten Joachims
OffRL
67
662
0
12 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
475
1,994
0
04 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
Image Augmentation Is All You Need: Regularizing Deep Reinforcement
  Learning from Pixels
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Ilya Kostrikov
Denis Yarats
Rob Fergus
OffRL
68
784
0
28 Apr 2020
A Game Theoretic Framework for Model Based Reinforcement Learning
A Game Theoretic Framework for Model Based Reinforcement Learning
Aravind Rajeswaran
Igor Mordatch
Vikash Kumar
OffRL
42
127
0
16 Apr 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Justin Fu
Aviral Kumar
Ofir Nachum
George Tucker
Sergey Levine
GP
OffRL
177
1,338
0
15 Apr 2020
The Surprising Effectiveness of Linear Models for Visual Foresight in
  Object Pile Manipulation
The Surprising Effectiveness of Linear Models for Visual Foresight in Object Pile Manipulation
H.J. Terry Suh
Russ Tedrake
33
61
0
21 Feb 2020
GenDICE: Generalized Offline Estimation of Stationary Values
GenDICE: Generalized Offline Estimation of Stationary Values
Ruiyi Zhang
Bo Dai
Lihong Li
Dale Schuurmans
OffRL
125
173
0
21 Feb 2020
Keep Doing What Worked: Behavioral Modelling Priors for Offline
  Reinforcement Learning
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning
Noah Y. Siegel
Jost Tobias Springenberg
Felix Berkenkamp
A. Abdolmaleki
Michael Neunert
Thomas Lampe
Roland Hafner
Nicolas Heess
Martin Riedmiller
OffRL
46
283
0
19 Feb 2020
Variational Recurrent Models for Solving Partially Observable Control
  Tasks
Variational Recurrent Models for Solving Partially Observable Control Tasks
Dongqi Han
Kenji Doya
Jun Tani
DRL
OffRL
34
61
0
23 Dec 2019
AlgaeDICE: Policy Gradient from Arbitrary Experience
AlgaeDICE: Policy Gradient from Arbitrary Experience
Ofir Nachum
Bo Dai
Ilya Kostrikov
Yinlam Chow
Lihong Li
Dale Schuurmans
OffRL
76
240
0
04 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
97
1,333
0
03 Dec 2019
Contrastive Learning of Structured World Models
Contrastive Learning of Structured World Models
Thomas Kipf
Elise van der Pol
Max Welling
OCL
DRL
50
279
0
27 Nov 2019
Behavior Regularized Offline Reinforcement Learning
Behavior Regularized Offline Reinforcement Learning
Yifan Wu
George Tucker
Ofir Nachum
OffRL
63
678
0
26 Nov 2019
Experience-Embedded Visual Foresight
Experience-Embedded Visual Foresight
Yen-Chen Lin
Maria Bauzá
Phillip Isola
49
35
0
12 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
55
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
195
1,145
0
24 Oct 2019
Advantage-Weighted Regression: Simple and Scalable Off-Policy
  Reinforcement Learning
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning
Xue Bin Peng
Aviral Kumar
Grace Zhang
Sergey Levine
OffRL
111
548
0
01 Oct 2019
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
Michael Ahn
Henry Zhu
Kristian Hartikainen
Hugo Ponte
Abhishek Gupta
Sergey Levine
Vikash Kumar
49
127
0
25 Sep 2019
An Optimistic Perspective on Offline Reinforcement Learning
An Optimistic Perspective on Offline Reinforcement Learning
Rishabh Agarwal
Dale Schuurmans
Mohammad Norouzi
OffRL
OnRL
50
69
0
10 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a
  Latent Variable Model
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Alex X. Lee
Anusha Nagabandi
Pieter Abbeel
Sergey Levine
OffRL
BDL
56
377
0
01 Jul 2019
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human
  Preferences in Dialog
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog
Natasha Jaques
Asma Ghandeharioun
J. Shen
Craig Ferguson
Àgata Lapedriza
Noah J. Jones
S. Gu
Rosalind W. Picard
OffRL
76
338
0
30 Jun 2019
When to Trust Your Model: Model-Based Policy Optimization
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner
Justin Fu
Marvin Zhang
Sergey Levine
OffRL
55
939
0
19 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
54
283
0
06 Jun 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Aviral Kumar
Justin Fu
George Tucker
Sergey Levine
OffRL
OnRL
76
1,044
0
03 Jun 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering
End-to-End Robotic Reinforcement Learning without Reward Engineering
Avi Singh
Larry Yang
Kristian Hartikainen
Chelsea Finn
Sergey Levine
SSL
OffRL
62
267
0
16 Apr 2019
nuScenes: A multimodal dataset for autonomous driving
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar
Varun Bankiti
Alex H. Lang
Sourabh Vora
Venice Erin Liong
Qiang Xu
Anush Krishnan
Yuxin Pan
G. Baldan
Oscar Beijbom
3DPC
251
5,653
0
26 Mar 2019
Off-Policy Deep Reinforcement Learning without Exploration
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
David Meger
Doina Precup
OffRL
BDL
154
1,586
0
07 Dec 2018
Visual Foresight: Model-Based Deep Reinforcement Learning for
  Vision-Based Robotic Control
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
F. Ebert
Chelsea Finn
Sudeep Dasari
Annie Xie
Alex X. Lee
Sergey Levine
SSL
87
383
0
03 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
68
1,416
0
12 Nov 2018
Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data
  for Imitation
Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation
Pratyusha Sharma
Lekha Mohan
Lerrel Pinto
Abhinav Gupta
39
121
0
16 Oct 2018
Visual Reinforcement Learning with Imagined Goals
Visual Reinforcement Learning with Imagined Goals
Ashvin Nair
Vitchyr H. Pong
Murtaza Dalal
Shikhar Bahl
Steven Lin
Sergey Levine
SSL
59
540
0
12 Jul 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial
  and Review
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
Sergey Levine
AI4CE
BDL
51
667
0
02 May 2018
Unsupervised Predictive Memory in a Goal-Directed Agent
Unsupervised Predictive Memory in a Goal-Directed Agent
Greg Wayne
Chia-Chun Hung
David Amos
M. Berk Mirza
Arun Ahuja
...
David Silver
Koray Kavukcuoglu
M. Botvinick
Demis Hassabis
Timothy Lillicrap
69
190
0
28 Mar 2018
World Models
World Models
David R Ha
Jürgen Schmidhuber
SyDa
100
1,062
0
27 Mar 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
219
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
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