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An Empirical Investigation of Representation Learning for Imitation

An Empirical Investigation of Representation Learning for Imitation

16 May 2022
Xin Chen
Sam Toyer
Cody Wild
Scott Emmons
Ian S. Fischer
Kuang-Huei Lee
Neel Alex
Steven H. Wang
Ping Luo
Stuart J. Russell
Pieter Abbeel
Rohin Shah
    AI4TS
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Papers citing "An Empirical Investigation of Representation Learning for Imitation"

6 / 6 papers shown
Title
Policy Contrastive Imitation Learning
Policy Contrastive Imitation Learning
Jialei Huang
Zhao-Heng Yin
Yingdong Hu
Yang Gao
17
3
0
06 Jul 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask
  Imitation
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
David Brandfonbrener
Ofir Nachum
Joan Bruna
AI4CE
12
20
0
26 May 2023
Planning for Sample Efficient Imitation Learning
Planning for Sample Efficient Imitation Learning
Zhao-Heng Yin
Weirui Ye
Qifeng Chen
Yang Gao
OffRL
18
21
0
18 Oct 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic
  Reinforcement Learning at Scale
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
Kuang-Huei Lee
Ted Xiao
A. Li
Paul Wohlhart
Ian S. Fischer
Yao Lu
37
10
0
15 Oct 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from
  Pixels?
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?
Xiang Li
Jinghuan Shang
Srijan Das
Michael S. Ryoo
SSL
17
31
0
10 Jun 2022
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
268
337
0
14 Sep 2020
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