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Example-Driven Model-Based Reinforcement Learning for Solving
  Long-Horizon Visuomotor Tasks

Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks

21 September 2021
Bohan Wu
Suraj Nair
Li Fei-Fei
Chelsea Finn
    OffRL
    LM&Ro
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Papers citing "Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks"

50 / 56 papers shown
Title
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
64
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
54
139
0
31 Mar 2021
Replacing Rewards with Examples: Example-Based Policy Search via
  Recursive Classification
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
Benjamin Eysenbach
Sergey Levine
Ruslan Salakhutdinov
OffRL
72
50
0
23 Mar 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video
  Prediction
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction
Bohan Wu
Suraj Nair
Roberto Martin-Martin
Li Fei-Fei
Chelsea Finn
DRL
50
101
0
06 Mar 2021
Action Priors for Large Action Spaces in Robotics
Action Priors for Large Action Spaces in Robotics
Ondrej Biza
Dian Wang
Robert Platt
Jan-Willem van de Meent
Lawson L. S. Wong
33
14
0
11 Jan 2021
Model-Based Visual Planning with Self-Supervised Functional Distances
Model-Based Visual Planning with Self-Supervised Functional Distances
Stephen Tian
Suraj Nair
F. Ebert
Sudeep Dasari
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSL
OffRL
186
59
0
30 Dec 2020
Offline Reinforcement Learning from Images with Latent Space Models
Offline Reinforcement Learning from Images with Latent Space Models
Rafael Rafailov
Tianhe Yu
Aravind Rajeswaran
Chelsea Finn
OffRL
29
126
0
21 Dec 2020
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
39
25
0
22 Oct 2020
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning
Brian Ichter
P. Sermanet
Corey Lynch
45
38
0
13 Oct 2020
Towards General and Autonomous Learning of Core Skills: A Case Study in
  Locomotion
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion
Roland Hafner
Tim Hertweck
Philipp Kloppner
Michael Bloesch
Michael Neunert
Markus Wulfmeier
S. Tunyasuvunakool
N. Heess
Martin Riedmiller
43
19
0
06 Aug 2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical
  Predictors
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
Karl Pertsch
Oleh Rybkin
F. Ebert
Chelsea Finn
Dinesh Jayaraman
Sergey Levine
27
72
0
23 Jun 2020
The Ingredients of Real-World Robotic Reinforcement Learning
The Ingredients of Real-World Robotic Reinforcement Learning
Henry Zhu
Justin Yu
Abhishek Gupta
Dhruv Shah
Kristian Hartikainen
Avi Singh
Vikash Kumar
Sergey Levine
OffRL
93
174
0
27 Apr 2020
Learning to Generalize Across Long-Horizon Tasks from Human
  Demonstrations
Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations
Ajay Mandlekar
Danfei Xu
Roberto Martín-Martín
Silvio Savarese
Li Fei-Fei
OffRL
47
135
0
13 Mar 2020
Hallucinative Topological Memory for Zero-Shot Visual Planning
Hallucinative Topological Memory for Zero-Shot Visual Planning
Kara Liu
Thanard Kurutach
Christine Tung
Pieter Abbeel
Aviv Tamar
41
48
0
27 Feb 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
26
61
0
21 Feb 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from
  Preferences
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
Daniel S. Brown
Russell Coleman
R. Srinivasan
S. Niekum
BDL
41
101
0
21 Feb 2020
Information Theoretic Model Predictive Q-Learning
Information Theoretic Model Predictive Q-Learning
M. Bhardwaj
Ankur Handa
Dieter Fox
Byron Boots
39
23
0
31 Dec 2019
Deep Bayesian Reward Learning from Preferences
Deep Bayesian Reward Learning from Preferences
Daniel S. Brown
S. Niekum
BDL
22
34
0
10 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
88
1,333
0
03 Dec 2019
Experience-Embedded Visual Foresight
Experience-Embedded Visual Foresight
Yen-Chen Lin
Maria Bauzá
Phillip Isola
44
35
0
12 Nov 2019
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and
  Reinforcement Learning
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
Abhishek Gupta
Vikash Kumar
Corey Lynch
Sergey Levine
Karol Hausman
35
429
0
25 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
53
1,215
0
16 Oct 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks
  via Visual Subgoal Generation
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
Suraj Nair
Chelsea Finn
VGen
40
138
0
12 Sep 2019
Dynamics-Aware Unsupervised Discovery of Skills
Dynamics-Aware Unsupervised Discovery of Skills
Archit Sharma
S. Gu
Sergey Levine
Vikash Kumar
Karol Hausman
49
404
0
02 Jul 2019
Learning Reward Functions by Integrating Human Demonstrations and
  Preferences
Learning Reward Functions by Integrating Human Demonstrations and Preferences
Malayandi Palan
Nicholas C. Landolfi
Gleb Shevchuk
Dorsa Sadigh
32
125
0
21 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Yiding Jiang
S. Gu
Kevin Patrick Murphy
Chelsea Finn
OffRL
27
223
0
18 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement
  Learning
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
46
289
0
12 Jun 2019
Learning Robotic Manipulation through Visual Planning and Acting
Learning Robotic Manipulation through Visual Planning and Acting
Angelina Wang
Thanard Kurutach
Kara Liu
Pieter Abbeel
Aviv Tamar
28
115
0
11 May 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
Reasoning About Physical Interactions with Object-Oriented Prediction
  and Planning
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning
Michael Janner
Sergey Levine
William T. Freeman
J. Tenenbaum
Chelsea Finn
Jiajun Wu
OCL
44
129
0
28 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
82
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
55
1,416
0
12 Nov 2018
One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks
One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks
Tianhe Yu
Pieter Abbeel
Sergey Levine
Chelsea Finn
36
68
0
25 Oct 2018
Robustness via Retrying: Closed-Loop Robotic Manipulation with
  Self-Supervised Learning
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning
F. Ebert
Sudeep Dasari
Alex X. Lee
Sergey Levine
Chelsea Finn
SSL
28
61
0
06 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning
Few-Shot Goal Inference for Visuomotor Learning and Planning
Annie Xie
Avi Singh
Sergey Levine
Chelsea Finn
OffRL
62
70
0
30 Sep 2018
Time-Agnostic Prediction: Predicting Predictable Video Frames
Time-Agnostic Prediction: Predicting Predictable Video Frames
Dinesh Jayaraman
F. Ebert
Alexei A. Efros
Sergey Levine
46
93
0
23 Aug 2018
Learning Plannable Representations with Causal InfoGAN
Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach
Aviv Tamar
Ge Yang
Stuart J. Russell
Pieter Abbeel
GAN
DRL
40
180
0
24 Jul 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
54
540
0
12 Jul 2018
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video
  Demonstration
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration
De-An Huang
Suraj Nair
Danfei Xu
Yuke Zhu
Animesh Garg
Li Fei-Fei
Silvio Savarese
Juan Carlos Niebles
32
140
0
10 Jul 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic
  Manipulation
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov
A. Irpan
P. Pastor
Julian Ibarz
Alexander Herzog
...
Deirdre Quillen
E. Holly
Mrinal Kalakrishnan
Vincent Vanhoucke
Sergey Levine
90
1,454
0
27 Jun 2018
Variational Inverse Control with Events: A General Framework for
  Data-Driven Reward Definition
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
Justin Fu
Avi Singh
Dibya Ghosh
Larry Yang
Sergey Levine
BDL
30
125
0
29 May 2018
Data-Efficient Hierarchical Reinforcement Learning
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
OffRL
82
803
0
21 May 2018
Hierarchical Reinforcement Learning with Hindsight
Andrew Levy
Robert Platt
Kate Saenko
51
84
0
21 May 2018
Learning Synergies between Pushing and Grasping with Self-supervised
  Deep Reinforcement Learning
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning
Andy Zeng
Shuran Song
Stefan Welker
Johnny Lee
Alberto Rodriguez
Thomas Funkhouser
SSL
52
567
0
27 Mar 2018
Semi-parametric Topological Memory for Navigation
Semi-parametric Topological Memory for Navigation
Nikolay Savinov
Alexey Dosovitskiy
V. Koltun
31
379
0
01 Mar 2018
Diversity is All You Need: Learning Skills without a Reward Function
Diversity is All You Need: Learning Skills without a Reward Function
Benjamin Eysenbach
Abhishek Gupta
Julian Ibarz
Sergey Levine
58
1,075
0
16 Feb 2018
DDCO: Discovery of Deep Continuous Options for Robot Learning from
  Demonstrations
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations
S. Krishnan
Roy Fox
Ion Stoica
Ken Goldberg
51
82
0
15 Oct 2017
Neural Task Programming: Learning to Generalize Across Hierarchical
  Tasks
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks
Danfei Xu
Suraj Nair
Yuke Zhu
J. Gao
Animesh Garg
Li Fei-Fei
Silvio Savarese
44
195
0
04 Oct 2017
Deep Predictive Policy Training using Reinforcement Learning
Deep Predictive Policy Training using Reinforcement Learning
Ali Ghadirzadeh
A. Maki
Danica Kragic
Mårten Björkman
49
129
0
02 Mar 2017
Deep Visual Foresight for Planning Robot Motion
Deep Visual Foresight for Planning Robot Motion
Chelsea Finn
Sergey Levine
91
779
0
03 Oct 2016
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