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Efficient Self-Supervised Data Collection for Offline Robot Learning

Efficient Self-Supervised Data Collection for Offline Robot Learning

10 May 2021
Shadi Endrawis
Gal Leibovich
Guy Jacob
Gal Novik
Aviv Tamar
    SSL
    OffRL
ArXivPDFHTML

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

9 / 9 papers shown
Title
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward
  Shaping
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
Lina Mezghani
Sainbayar Sukhbaatar
Piotr Bojanowski
A. Lazaric
Alahari Karteek
OffRL
41
18
0
05 Jan 2023
Learning Control by Iterative Inversion
Learning Control by Iterative Inversion
Gal Leibovich
Guy Jacob
Or Avner
Gal Novik
Aviv Tamar
13
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
18
1
0
25 May 2022
ARLO: A Framework for Automated Reinforcement Learning
ARLO: A Framework for Automated Reinforcement Learning
Marco Mussi
Davide Lombarda
Alberto Maria Metelli
F. Trovò
Marcello Restelli
OffRL
31
4
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 Holes
Liangru Xie
Hongxiang Yu
Kechun Xu
Tong Yang
Minhang Wang
Haojian Lu
R. Xiong
Yue Wang
26
0
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
OffRL
OnRL
19
84
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
26
27
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 Manipulation
Isabella Liu
Shagun Uppal
Gaurav Sukhatme
Joseph J. Lim
Péter Englert
Youngwoon Lee
22
12
0
11 Nov 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,955
0
04 May 2020
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