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2210.15206
Cited By
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision
27 October 2022
Ashvin Nair
Brian Zhu
Gokul Narayanan
Eugen Solowjow
Sergey Levine
OffRL
OnRL
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Papers citing
"Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision"
50 / 75 papers shown
Title
EasyInsert: A Data-Efficient and Generalizable Insertion Policy
Guanghe Li
Junming Zhao
Shengjie Wang
Yang Gao
158
0
0
22 May 2025
Context-Based Meta Reinforcement Learning for Robust and Adaptable Peg-in-Hole Assembly Tasks
Ahmed Shokry
Walid Gomaa
Tobias Zaenker
Murad Dawood
Shady A. Maged
Mohammed I. Awad
Maren Bennewitz
Maren Bennewitz
OffRL
58
0
0
24 Sep 2024
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment
Huihan Liu
Soroush Nasiriany
Lance Zhang
Zhiyao Bao
Yuke Zhu
60
60
0
15 Nov 2022
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input
Oren Spector
Vladimir Tchuiev
Dotan Di Castro
70
24
0
02 Mar 2022
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks
Linghui Meng
Muning Wen
Yaodong Yang
Chenyang Le
Xiyun Li
Weinan Zhang
Ying Wen
Haifeng Zhang
Jun Wang
Bo Xu
OffRL
82
41
0
06 Dec 2021
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
283
903
0
12 Oct 2021
Offline Meta-Reinforcement Learning for Industrial Insertion
Tony Zhao
Jianlan Luo
Oleg O. Sushkov
Rugile Pevceviciute
N. Heess
Jonathan Scholz
S. Schaal
Sergey Levine
OffRL
OnRL
67
81
0
08 Oct 2021
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets
F. Ebert
Yanlai Yang
Karl Schmeckpeper
Bernadette Bucher
G. Georgakis
Kostas Daniilidis
Chelsea Finn
Sergey Levine
214
230
0
27 Sep 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning
Aviral Kumar
Anika Singh
Stephen Tian
Chelsea Finn
Sergey Levine
OffRL
186
86
0
22 Sep 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision
Vitchyr H. Pong
Ashvin Nair
Laura M. Smith
Catherine Huang
Sergey Levine
OffRL
84
65
0
08 Jul 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
Seunghyun Lee
Younggyo Seo
Kimin Lee
Pieter Abbeel
Jinwoo Shin
OffRL
OnRL
60
189
0
01 Jul 2021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
Kate Rakelly
Abhishek Gupta
Carlos Florensa
Sergey Levine
SSL
63
39
0
14 Jun 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space
Tung D. Nguyen
Rui Shu
Tu Pham
Hung Bui
Stefano Ermon
OffRL
78
58
0
14 Jun 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
Kimin Lee
Laura M. Smith
Pieter Abbeel
OffRL
58
284
0
09 Jun 2021
What Can I Do Here? Learning New Skills by Imagining Visual Affordances
Alexander Khazatsky
Ashvin Nair
Dan Jing
Sergey Levine
LM&Ro
38
33
0
01 Jun 2021
InsertionNet -- A Scalable Solution for Insertion
Oren Spector
Dotan Di Castro
52
52
0
29 Apr 2021
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
90
277
0
16 Apr 2021
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
62
152
0
15 Apr 2021
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
Jianlan Luo
Oleg O. Sushkov
Rugile Pevceviciute
Wenzhao Lian
Chang Su
Mel Vecerík
Ning Ye
S. Schaal
Jonathan Scholz
OffRL
109
63
0
21 Mar 2021
Benchmarking Off-The-Shelf Solutions to Robotic Assembly Tasks
Wenzhao Lian
Tim Kelch
D. Holz
Adam Norton
S. Schaal
50
24
0
08 Mar 2021
Understanding Learned Reward Functions
Eric J. Michaud
Adam Gleave
Stuart J. Russell
XAI
OffRL
57
34
0
10 Dec 2020
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
Avi Singh
Huihan Liu
G. Zhou
Albert Yu
Nicholas Rhinehart
Sergey Levine
OffRL
OnRL
58
142
0
19 Nov 2020
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
65
103
0
27 Oct 2020
Action and Perception as Divergence Minimization
Danijar Hafner
Pedro A. Ortega
Jimmy Ba
Thomas Parr
Karl J. Friston
N. Heess
55
53
0
03 Sep 2020
Data-Efficient Reinforcement Learning with Self-Predictive Representations
Max Schwarzer
Ankesh Anand
Rishab Goel
R. Devon Hjelm
Aaron Courville
Philip Bachman
85
318
0
12 Jul 2020
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang
R. McAllister
Roberto Calandra
Y. Gal
Sergey Levine
OOD
SSL
103
469
0
18 Jun 2020
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets
Ashvin Nair
Abhishek Gupta
Murtaza Dalal
Sergey Levine
OffRL
OnRL
94
608
0
16 Jun 2020
Deep Reinforcement and InfoMax Learning
Bogdan Mazoure
Rémi Tachet des Combes
T. Doan
Philip Bachman
R. Devon Hjelm
AI4CE
58
109
0
12 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar
Aurick Zhou
George Tucker
Sergey Levine
OffRL
OnRL
134
1,812
0
08 Jun 2020
Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks
Gerrit Schoettler
Ashvin Nair
J. A. Ojea
Sergey Levine
Eugen Solowjow
OffRL
OnRL
53
87
0
29 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
83
1,087
0
08 Apr 2020
Behavior Regularized Offline Reinforcement Learning
Yifan Wu
George Tucker
Ofir Nachum
OffRL
89
685
0
26 Nov 2019
Scalable methods for computing state similarity in deterministic Markov Decision Processes
Pablo Samuel Castro
66
136
0
21 Nov 2019
RoboNet: Large-Scale Multi-Robot Learning
Sudeep Dasari
F. Ebert
Stephen Tian
Suraj Nair
Bernadette Bucher
Karl Schmeckpeper
Siddharth Singh
Sergey Levine
Chelsea Finn
LM&Ro
72
302
0
24 Oct 2019
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning
Xue Bin Peng
Aviral Kumar
Grace Zhang
Sergey Levine
OffRL
131
558
0
01 Oct 2019
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
Gerrit Schoettler
Ashvin Nair
Jianlan Luo
Shikhar Bahl
J. A. Ojea
Eugen Solowjow
Sergey Levine
OffRL
47
192
0
13 Jun 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering
Avi Singh
Larry Yang
Kristian Hartikainen
Chelsea Finn
Sergey Levine
SSL
OffRL
69
267
0
16 Apr 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong
Murtaza Dalal
Steven Lin
Ashvin Nair
Shikhar Bahl
Sergey Levine
OffRL
SSL
71
276
0
08 Mar 2019
Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly
Jianlan Luo
Eugen Solowjow
Chengtao Wen
J. A. Ojea
A. Agogino
Aviv Tamar
Pieter Abbeel
70
174
0
04 Mar 2019
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
Stephen James
Paul Wohlhart
Mrinal Kalakrishnan
Dmitry Kalashnikov
A. Irpan
Julian Ibarz
Sergey Levine
R. Hadsell
Konstantinos Bousmalis
93
446
0
18 Dec 2018
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
David Meger
Doina Precup
OffRL
BDL
223
1,608
0
07 Dec 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards
David Warde-Farley
T. Wiele
Tejas D. Kulkarni
Catalin Ionescu
Steven Hansen
Volodymyr Mnih
DRL
OffRL
SSL
73
177
0
28 Nov 2018
Learning Actionable Representations with Goal-Conditioned Policies
Dibya Ghosh
Abhishek Gupta
Sergey Levine
61
109
0
19 Nov 2018
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner
Timothy Lillicrap
Ian S. Fischer
Ruben Villegas
David R Ha
Honglak Lee
James Davidson
BDL
86
1,436
0
12 Nov 2018
Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost
Henry Zhu
Abhishek Gupta
Aravind Rajeswaran
Sergey Levine
Vikash Kumar
OffRL
54
199
0
14 Oct 2018
Sanity Checks for Saliency Maps
Julius Adebayo
Justin Gilmer
M. Muelly
Ian Goodfellow
Moritz Hardt
Been Kim
FAtt
AAML
XAI
127
1,966
0
08 Oct 2018
Visual Reinforcement Learning with Imagined Goals
Ashvin Nair
Vitchyr H. Pong
Murtaza Dalal
Shikhar Bahl
Steven Lin
Sergey Levine
SSL
75
543
0
12 Jul 2018
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
304
10,284
0
10 Jul 2018
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
Justin Fu
Avi Singh
Dibya Ghosh
Larry Yang
Sergey Levine
BDL
44
125
0
29 May 2018
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
OffRL
94
808
0
21 May 2018
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