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2109.00137
Cited By
Implicit Behavioral Cloning
1 September 2021
Peter R. Florence
Corey Lynch
Andy Zeng
Oscar Ramirez
Ayzaan Wahid
Laura Downs
Adrian S. Wong
Johnny Lee
Igor Mordatch
Jonathan Tompson
OffRL
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Papers citing
"Implicit Behavioral Cloning"
31 / 281 papers shown
Title
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning
Hyunwoo Ryu
Jeong-Hoon Lee
Honglak Lee
Jongeun Choi
37
53
0
16 Jun 2022
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
Cong Lu
Philip J. Ball
Tim G. J. Rudner
Jack Parker-Holder
Michael A. Osborne
Yee Whye Teh
OffRL
32
52
0
09 Jun 2022
Know Your Boundaries: The Necessity of Explicit Behavioral Cloning in Offline RL
Wonjoon Goo
S. Niekum
OffRL
30
20
0
01 Jun 2022
Training and Inference on Any-Order Autoregressive Models the Right Way
Andy Shih
Dorsa Sadigh
Stefano Ermon
BDL
TPM
OOD
CML
35
23
0
26 May 2022
When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning
Jianxiong Li
Xianyuan Zhan
Haoran Xu
Xiangyu Zhu
Jingjing Liu
Ya Zhang
OffRL
35
25
0
23 May 2022
Chain of Thought Imitation with Procedure Cloning
Mengjiao Yang
Dale Schuurmans
Pieter Abbeel
Ofir Nachum
OffRL
35
30
0
22 May 2022
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations
Negin Heravi
Ayzaan Wahid
Corey Lynch
Peter R. Florence
Travis Armstrong
Jonathan Tompson
P. Sermanet
Jeannette Bohg
Debidatta Dwibedi
SSL
61
15
0
12 May 2022
Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research
Ryan Hoque
K. Shivakumar
Shrey Aeron
Gabriel Deza
Aditya Ganapathi
Adrian S. Wong
Johnny Lee
Andy Zeng
Vincent Vanhoucke
Ken Goldberg
31
21
0
21 Apr 2022
When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?
Aviral Kumar
Joey Hong
Anika Singh
Sergey Levine
OffRL
45
76
0
12 Apr 2022
Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation
Sridhar Pandian Arunachalam
Sneha Silwal
Ben Evans
Lerrel Pinto
35
101
0
24 Mar 2022
Multiscale Sensor Fusion and Continuous Control with Neural CDEs
Sumeet Singh
Francis McCann Ramirez
Jacob Varley
Andy Zeng
Vikas Sindhwani
49
3
0
16 Mar 2022
PLATO: Predicting Latent Affordances Through Object-Centric Play
Suneel Belkhale
Dorsa Sadigh
OffRL
27
13
0
10 Mar 2022
Learning Solution Manifolds for Control Problems via Energy Minimization
Miguel Zamora
Roi Poranne
Stelian Coros
18
2
0
07 Mar 2022
Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning
Aditya Ganapathi
Peter R. Florence
Jacob Varley
Kaylee Burns
Ken Goldberg
Andy Zeng
36
16
0
03 Mar 2022
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields
Danny Driess
Zhiao Huang
Yunzhu Li
Russ Tedrake
Marc Toussaint
OCL
AI4CE
119
85
0
24 Feb 2022
Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks
Hongtao Wu
Jikai Ye
Xin Meng
Chris Paxton
Gregory Chirikjian
74
17
0
22 Feb 2022
Ditto: Building Digital Twins of Articulated Objects from Interaction
Zhenyu Jiang
Cheng-Chun Hsu
Yuke Zhu
11
104
0
16 Feb 2022
Bayesian Imitation Learning for End-to-End Mobile Manipulation
Yuqing Du
Daniel Ho
Alexander A. Alemi
Eric Jang
Mohi Khansari
SSL
24
9
0
15 Feb 2022
Imitation Learning by Estimating Expertise of Demonstrators
M. Beliaev
Andy Shih
Stefano Ermon
Dorsa Sadigh
Ramtin Pedarsani
43
48
0
02 Feb 2022
STIR
2
^2
2
: Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks
Jesús Bujalance Martín
Fabien Moutarde
OffRL
33
2
0
11 Jan 2022
Generalization Bounded Implicit Learning of Nearly Discontinuous Functions
Bibit Bianchini
Mathew Halm
Nikolai Matni
Michael Posa
27
12
0
13 Dec 2021
Deep Visual Constraints: Neural Implicit Models for Manipulation Planning from Visual Input
Jung-Su Ha
Danny Driess
Marc Toussaint
27
12
0
09 Dec 2021
The Surprising Effectiveness of Representation Learning for Visual Imitation
Jyothish Pari
Nur Muhammad (Mahi) Shafiullah
Sridhar Pandian Arunachalam
Lerrel Pinto
SSL
25
158
0
02 Dec 2021
Learning Proposals for Practical Energy-Based Regression
L. Kumar
Martin Danelljan
Thomas B. Schon
33
4
0
22 Oct 2021
Continuous Control with Action Quantization from Demonstrations
Robert Dadashi
Léonard Hussenot
Damien Vincent
Sertan Girgin
Anton Raichuk
M. Geist
Olivier Pietquin
OffRL
33
23
0
19 Oct 2021
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
214
848
0
12 Oct 2021
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning
Julen Urain
Anqi Li
Puze Liu
Carlo DÉramo
Jan Peters
33
25
0
11 May 2021
On the Sample Complexity of Stability Constrained Imitation Learning
Stephen Tu
Alexander Robey
Tingnan Zhang
Nikolai Matni
49
39
0
18 Feb 2021
Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation
Albert Zhan
Philip Zhao
Lerrel Pinto
Pieter Abbeel
Michael Laskin
SSL
DRL
27
20
0
14 Dec 2020
How to Train Your Energy-Based Model for Regression
Fredrik K. Gustafsson
Martin Danelljan
Radu Timofte
Thomas B. Schon
47
42
0
04 May 2020
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
Xue Bin Peng
Pieter Abbeel
Sergey Levine
M. van de Panne
AI4CE
177
494
0
08 Apr 2018
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