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Combining Self-Supervised Learning and Imitation for Vision-Based Rope
  Manipulation

Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation

6 March 2017
Ashvin Nair
Dian Chen
Pulkit Agrawal
Phillip Isola
Pieter Abbeel
Jitendra Malik
Sergey Levine
    SSL
ArXivPDFHTML

Papers citing "Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation"

17 / 17 papers shown
Title
GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy
GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy
So Kuroki
Jiaxian Guo
T. Matsushima
Takuya Okubo
Masato Kobayashi
Yuya Ikeda
Ryosuke Takanami
Paul D. Yoo
Yutaka Matsuo
Yusuke Iwasawa
AI4CE
54
1
0
28 Jan 2025
GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy
GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy
So Kuroki
Jiaxian Guo
T. Matsushima
Takuya Okubo
Masato Kobayashi
Yuya Ikeda
Ryosuke Takanami
Paul D. Yoo
Yutaka Matsuo
Yusuke Iwasawa
76
0
0
28 Jan 2025
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
Eliot Xing
Vernon Luk
Jean Oh
119
0
0
16 Dec 2024
One-Shot Imitation under Mismatched Execution
One-Shot Imitation under Mismatched Execution
Kushal Kedia
Prithwish Dan
Sanjiban Choudhury
Maximus Adrian Pace
Sanjiban Choudhury
64
5
0
10 Sep 2024
What makes ImageNet good for transfer learning?
What makes ImageNet good for transfer learning?
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
OOD
SSeg
VLM
SSL
87
675
0
30 Aug 2016
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Pulkit Agrawal
Ashvin Nair
Pieter Abbeel
Jitendra Malik
Sergey Levine
SSL
44
562
0
23 Jun 2016
The Curious Robot: Learning Visual Representations via Physical
  Interactions
The Curious Robot: Learning Visual Representations via Physical Interactions
Lerrel Pinto
Dhiraj Gandhi
Yuanfeng Han
Yong‐Lae Park
Abhinav Gupta
60
186
0
05 Apr 2016
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning
  and Large-Scale Data Collection
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection
Sergey Levine
P. Pastor
A. Krizhevsky
Deirdre Quillen
139
2,069
0
07 Mar 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
159
8,805
0
04 Feb 2016
Learning Visual Predictive Models of Physics for Playing Billiards
Learning Visual Predictive Models of Physics for Playing Billiards
Katerina Fragkiadaki
Pulkit Agrawal
Sergey Levine
Jitendra Malik
53
259
0
23 Nov 2015
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700
  Robot Hours
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours
Lerrel Pinto
Abhinav Gupta
SSL
83
1,152
0
23 Sep 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
171
13,174
0
09 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
Embed to Control: A Locally Linear Latent Dynamics Model for Control
  from Raw Images
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
Manuel Watter
Jost Tobias Springenberg
Joschka Boedecker
Martin Riedmiller
BDL
44
839
0
24 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
205
3,418
0
02 Apr 2015
From Pixels to Torques: Policy Learning with Deep Dynamical Models
From Pixels to Torques: Policy Learning with Deep Dynamical Models
Niklas Wahlström
Thomas B. Schon
M. Deisenroth
46
189
0
08 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
678
149,474
0
22 Dec 2014
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