ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.00137
  4. Cited By
Implicit Behavioral Cloning

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
ArXivPDFHTML

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
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
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
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
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
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
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
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
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?
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
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
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
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
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
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
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
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
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
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
Imitation Learning by Estimating Expertise of Demonstrators
M. Beliaev
Andy Shih
Stefano Ermon
Dorsa Sadigh
Ramtin Pedarsani
43
48
0
02 Feb 2022
STIR$^2$: Reward Relabelling for combined Reinforcement and Imitation
  Learning on sparse-reward tasks
STIR2^22: 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
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
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
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
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
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
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
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
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
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
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
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
Previous
123456