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Simple Emergent Action Representations from Multi-Task Policy Training

Simple Emergent Action Representations from Multi-Task Policy Training

18 October 2022
Pu Hua
Yubei Chen
Huazhe Xu
    MLAU
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Papers citing "Simple Emergent Action Representations from Multi-Task Policy Training"

5 / 5 papers shown
Title
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
Yubei Chen
Zeyu Yun
Y. Ma
Bruno A. Olshausen
Yann LeCun
37
8
0
30 Sep 2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
Michael Laskin
Hao Liu
Xue Bin Peng
Denis Yarats
Aravind Rajeswaran
Pieter Abbeel
SSL
74
65
0
01 Feb 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
260
7,434
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
329
1,949
0
04 May 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
252
11,677
0
09 Mar 2017
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