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Deep Visual Foresight for Planning Robot Motion

Deep Visual Foresight for Planning Robot Motion

3 October 2016
Chelsea Finn
Sergey Levine
ArXivPDFHTML

Papers citing "Deep Visual Foresight for Planning Robot Motion"

50 / 141 papers shown
Title
Example-Driven Model-Based Reinforcement Learning for Solving
  Long-Horizon Visuomotor Tasks
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks
Bohan Wu
Suraj Nair
Li Fei-Fei
Chelsea Finn
OffRL
LM&Ro
38
24
0
21 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
35
77
0
16 Sep 2021
Learning Language-Conditioned Robot Behavior from Offline Data and
  Crowd-Sourced Annotation
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
Suraj Nair
E. Mitchell
Kevin Chen
Brian Ichter
Silvio Savarese
Chelsea Finn
LM&Ro
OffRL
37
154
0
02 Sep 2021
Gap-Dependent Unsupervised Exploration for Reinforcement Learning
Gap-Dependent Unsupervised Exploration for Reinforcement Learning
Jingfeng Wu
Vladimir Braverman
Lin F. Yang
27
12
0
11 Aug 2021
Excavation Learning for Rigid Objects in Clutter
Excavation Learning for Rigid Objects in Clutter
Qingkai Lu
Liangjun Zhang
20
14
0
09 Jul 2021
Learning to See before Learning to Act: Visual Pre-training for
  Manipulation
Learning to See before Learning to Act: Visual Pre-training for Manipulation
Yen-Chen Lin
Andy Zeng
Shuran Song
Phillip Isola
Nayeon Lee
SSL
16
87
0
01 Jul 2021
Discovering Generalizable Skills via Automated Generation of Diverse
  Tasks
Discovering Generalizable Skills via Automated Generation of Diverse Tasks
Kuan Fang
Yuke Zhu
Silvio Savarese
Li Fei-Fei
48
6
0
26 Jun 2021
Pushing it out of the Way: Interactive Visual Navigation
Pushing it out of the Way: Interactive Visual Navigation
Kuo-Hao Zeng
Luca Weihs
Ali Farhadi
Roozbeh Mottaghi
26
30
0
28 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
47
270
0
16 Apr 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of
  Robotic Skills
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Yevgen Chebotar
Karol Hausman
Yao Lu
Ted Xiao
Dmitry Kalashnikov
...
A. Irpan
Benjamin Eysenbach
Ryan Julian
Chelsea Finn
Sergey Levine
SSL
OffRL
32
146
0
15 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
30
137
0
31 Mar 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with
  Hypernetworks
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
Zhou Xian
Shamit Lal
H. Tung
Emmanouil Antonios Platanios
Katerina Fragkiadaki
AI4CE
33
23
0
17 Mar 2021
DMotion: Robotic Visuomotor Control with Unsupervised Forward Model
  Learned from Videos
DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos
Haoqi Yuan
Ruihai Wu
Andrew Zhao
Hanwang Zhang
Zihan Ding
Hao Dong
19
3
0
07 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
27
99
0
06 Mar 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic
  Platforms
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Ali Ghadirzadeh
Xi Chen
Petra Poklukar
Chelsea Finn
Mårten Björkman
Danica Kragic
BDL
34
41
0
05 Mar 2021
Enabling Visual Action Planning for Object Manipulation through Latent
  Space Roadmap
Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap
M. Lippi
Petra Poklukar
Michael C. Welle
Anastasia Varava
Hang Yin
Alessandro Marino
Danica Kragic
21
13
0
03 Mar 2021
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
219
413
0
16 Feb 2021
SwingBot: Learning Physical Features from In-hand Tactile Exploration
  for Dynamic Swing-up Manipulation
SwingBot: Learning Physical Features from In-hand Tactile Exploration for Dynamic Swing-up Manipulation
Chen Wang
Shaoxiong Wang
Branden Romero
Filipe Veiga
Edward H. Adelson
32
102
0
28 Jan 2021
Learning Temporal Dynamics from Cycles in Narrated Video
Learning Temporal Dynamics from Cycles in Narrated Video
Dave Epstein
Jiajun Wu
Cordelia Schmid
Chen Sun
AI4TS
33
14
0
07 Jan 2021
Variational Monocular Depth Estimation for Reliability Prediction
Variational Monocular Depth Estimation for Reliability Prediction
Noriaki Hirose
S. Taguchi
Keisuke Kawano
Satoshi Koide
MDE
34
4
0
24 Nov 2020
Mutual Information Based Method for Unsupervised Disentanglement of
  Video Representation
Mutual Information Based Method for Unsupervised Disentanglement of Video Representation
Aditya Sreekar
Ujjwal Tiwari
A. Namboodiri
DRL
26
4
0
17 Nov 2020
Deep Affordance Foresight: Planning Through What Can Be Done in the
  Future
Deep Affordance Foresight: Planning Through What Can Be Done in the Future
Danfei Xu
Ajay Mandlekar
Roberto Martín-Martín
Yuke Zhu
Silvio Savarese
Li Fei-Fei
33
70
0
17 Nov 2020
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud
  Objects
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects
Anthony Simeonov
Yilun Du
Beomjoon Kim
F. Hogan
J. Tenenbaum
Pulkit Agrawal
Alberto Rodriguez
3DPC
22
49
0
16 Nov 2020
ROLL: Visual Self-Supervised Reinforcement Learning with Object
  Reasoning
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning
Yufei Wang
G. Narasimhan
Xingyu Lin
Brian Okorn
David Held
OffRL
LRM
30
13
0
13 Nov 2020
COG: Connecting New Skills to Past Experience with Offline Reinforcement
  Learning
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
Avi Singh
Albert Yu
Jonathan Yang
Jesse Zhang
Aviral Kumar
Sergey Levine
SSL
OffRL
OnRL
35
103
0
27 Oct 2020
Learning Long-term Visual Dynamics with Region Proposal Interaction
  Networks
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
Haozhi Qi
Xiaolong Wang
Deepak Pathak
Yi Ma
Jitendra Malik
28
57
0
05 Aug 2020
Data-efficient visuomotor policy training using reinforcement learning
  and generative models
Data-efficient visuomotor policy training using reinforcement learning and generative models
Ali Ghadirzadeh
Petra Poklukar
Ville Kyrki
Danica Kragic
Mårten Björkman
OffRL
39
9
0
26 Jul 2020
FlowControl: Optical Flow Based Visual Servoing
FlowControl: Optical Flow Based Visual Servoing
Max Argus
Lukás Hermann
Jon Long
Thomas Brox
17
25
0
01 Jul 2020
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and
  Motion Planning from an Initial Scene Image
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image
Danny Driess
Jung-Su Ha
Marc Toussaint
LRM
13
100
0
09 Jun 2020
Modeling Long-horizon Tasks as Sequential Interaction Landscapes
Modeling Long-horizon Tasks as Sequential Interaction Landscapes
Soren Pirk
Karol Hausman
Alexander Toshev
Mohi Khansari
22
27
0
08 Jun 2020
LEAF: Latent Exploration Along the Frontier
LEAF: Latent Exploration Along the Frontier
Homanga Bharadhwaj
Animesh Garg
Florian Shkurti
24
1
0
21 May 2020
Context-aware Dynamics Model for Generalization in Model-Based
  Reinforcement Learning
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
Kimin Lee
Younggyo Seo
Seunghyun Lee
Honglak Lee
Jinwoo Shin
40
124
0
14 May 2020
Learning to Slide Unknown Objects with Differentiable Physics
  Simulations
Learning to Slide Unknown Objects with Differentiable Physics Simulations
Changkyu Song
Abdeslam Boularias
27
39
0
11 May 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic
  Reinforcement Learning
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning
Ryan Julian
Benjamin Swanson
Gaurav Sukhatme
Sergey Levine
Chelsea Finn
Karol Hausman
OnRL
CLL
20
43
0
21 Apr 2020
Learning Predictive Representations for Deformable Objects Using
  Contrastive Estimation
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
Wilson Yan
Ashwin Vangipuram
Pieter Abbeel
Lerrel Pinto
17
188
0
11 Mar 2020
Disentangling Controllable Object through Video Prediction Improves
  Visual Reinforcement Learning
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning
Yuanyi Zhong
A. Schwing
Jian Peng
DRL
10
5
0
21 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. Suh
Russ Tedrake
21
60
0
21 Feb 2020
Causally Correct Partial Models for Reinforcement Learning
Causally Correct Partial Models for Reinforcement Learning
Danilo Jimenez Rezende
Ivo Danihelka
George Papamakarios
Nan Rosemary Ke
Ray Jiang
...
Jane X. Wang
Jovana Mitrović
F. Besse
Ioannis Antonoglou
Lars Buesing
AI4TS
24
32
0
07 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
33
60
0
30 Dec 2019
Experience-Embedded Visual Foresight
Experience-Embedded Visual Foresight
Yen-Chen Lin
Maria Bauzá
Phillip Isola
22
35
0
12 Nov 2019
Learning to Manipulate Deformable Objects without Demonstrations
Learning to Manipulate Deformable Objects without Demonstrations
Yilin Wu
Wilson Yan
Thanard Kurutach
Lerrel Pinto
Pieter Abbeel
OffRL
19
199
0
29 Oct 2019
Dynamics Learning with Cascaded Variational Inference for Multi-Step
  Manipulation
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation
Kuan Fang
Yuke Zhu
Animesh Garg
Silvio Savarese
Li Fei-Fei
DRL
18
47
0
29 Oct 2019
KETO: Learning Keypoint Representations for Tool Manipulation
KETO: Learning Keypoint Representations for Tool Manipulation
Zengyi Qin
Kuan Fang
Yuke Zhu
Li Fei-Fei
Silvio Savarese
3DPC
27
106
0
26 Oct 2019
Case Study: Verifying the Safety of an Autonomous Racing Car with a
  Neural Network Controller
Case Study: Verifying the Safety of an Autonomous Racing Car with a Neural Network Controller
Radoslav Ivanov
Taylor J. Carpenter
James Weimer
Rajeev Alur
George J. Pappas
Insup Lee
15
78
0
24 Oct 2019
Model-based Behavioral Cloning with Future Image Similarity Learning
Model-based Behavioral Cloning with Future Image Similarity Learning
Alan Wu
A. Piergiovanni
Michael S. Ryoo
OffRL
23
14
0
08 Oct 2019
Making sense of sensory input
Making sense of sensory input
Maciej Wołczyk
Jacek Tabor
Johannes Welbl
Szymon Maszke
Marek Sergot
19
52
0
05 Oct 2019
Tethered Tool Manipulation Planning with Cable Maneuvering
Tethered Tool Manipulation Planning with Cable Maneuvering
Daniel Sánchez
Weiwei Wan
Kensuke Harada
12
18
0
24 Sep 2019
Self-supervised 6D Object Pose Estimation for Robot Manipulation
Self-supervised 6D Object Pose Estimation for Robot Manipulation
Xinke Deng
Yu Xiang
Arsalan Mousavian
Clemens Eppner
Timothy Bretl
D. Fox
3DPC
SSL
26
181
0
23 Sep 2019
Making Sense of Vision and Touch: Learning Multimodal Representations
  for Contact-Rich Tasks
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee
Yuke Zhu
Peter Zachares
Matthew Tan
K. Srinivasan
Silvio Savarese
Fei-Fei Li
Animesh Garg
Jeannette Bohg
SSL
23
207
0
28 Jul 2019
Adaptive Regularization via Residual Smoothing in Deep Learning
  Optimization
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization
Jung-Kyun Cho
Junseok Kwon
Byung-Woo Hong
28
1
0
23 Jul 2019
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