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Efficient Self-Supervised Data Collection for Offline Robot Learning

Efficient Self-Supervised Data Collection for Offline Robot Learning

IEEE International Conference on Robotics and Automation (ICRA), 2021
10 May 2021
Shadi Endrawis
Gal Leibovich
Guy Jacob
Gal Novik
Aviv Tamar
    SSLOffRL
ArXiv (abs)PDFHTML

Papers citing "Efficient Self-Supervised Data Collection for Offline Robot Learning"

9 / 9 papers shown
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward
  Shaping
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward ShapingConference on Robot Learning (CoRL), 2023
Lina Mezghani
Sainbayar Sukhbaatar
Piotr Bojanowski
A. Lazaric
Alahari Karteek
OffRL
324
25
0
05 Jan 2023
Learning Control by Iterative Inversion
Learning Control by Iterative InversionInternational Conference on Machine Learning (ICML), 2022
Gal Leibovich
Guy Jacob
Or Avner
Gal Novik
Aviv Tamar
220
0
0
03 Nov 2022
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised
  Learning
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning
Yunhao Yang
Parham Gohari
Ufuk Topcu
162
1
0
25 May 2022
ARLO: A Framework for Automated Reinforcement Learning
ARLO: A Framework for Automated Reinforcement LearningExpert systems with applications (ESWA), 2022
Marco Mussi
Davide Lombarda
Alberto Maria Metelli
F. Trovò
Marcello Restelli
OffRL
196
8
0
20 May 2022
Learning A Simulation-based Visual Policy for Real-world Peg In Unseen
  Holes
Learning A Simulation-based Visual Policy for Real-world Peg In Unseen HolesReview of Scientific Instruments (RSI), 2022
Liangru Xie
Hongxiang Yu
Kechun Xu
Tong Yang
Minhang Wang
Haojian Lu
R. Xiong
Yue Wang
145
2
0
09 May 2022
Don't Change the Algorithm, Change the Data: Exploratory Data for
  Offline Reinforcement Learning
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning
Denis Yarats
David Brandfonbrener
Hao Liu
Michael Laskin
Pieter Abbeel
A. Lazaric
Lerrel Pinto
OffRLOnRL
234
110
0
31 Jan 2022
The Challenges of Exploration for Offline Reinforcement Learning
The Challenges of Exploration for Offline Reinforcement Learning
Nathan Lambert
Markus Wulfmeier
William F. Whitney
Arunkumar Byravan
Michael Bloesch
Vibhavari Dasagi
Tim Hertweck
Martin Riedmiller
OffRL
216
33
0
27 Jan 2022
Distilling Motion Planner Augmented Policies into Visual Control
  Policies for Robot Manipulation
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot ManipulationConference on Robot Learning (CoRL), 2021
Isabella Liu
Shagun Uppal
Gaurav Sukhatme
Joseph J. Lim
Péter Englert
Youngwoon Lee
144
13
0
11 Nov 2021
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Yuke Zhu
J. Wong
Ajay Mandlekar
Roberto Martín-Martín
Abhishek Joshi
Soroush Nasiriany
Yifeng Zhu
Soroush Nasiriany
Yifeng Zhu
614
585
0
25 Sep 2020
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