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Cross-domain Random Pre-training with Prototypes for Reinforcement Learning

Cross-domain Random Pre-training with Prototypes for Reinforcement Learning

11 February 2023
Xin Liu
Yaran Chen
Haoran Li
Boyu Li
Dong Zhao
    SSL
ArXivPDFHTML

Papers citing "Cross-domain Random Pre-training with Prototypes for Reinforcement Learning"

9 / 9 papers shown
Title
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
Xin Liu
Yaran Chen
Haoran Li
SSL
94
0
0
14 Dec 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement
  Learning
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
Chengyang Ying
Zhongkai Hao
Xinning Zhou
Xuezhou Xu
Hang Su
Xingxing Zhang
Jun Zhu
27
4
0
23 May 2024
Learning Future Representation with Synthetic Observations for
  Sample-efficient Reinforcement Learning
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning
Xin Liu
Yaran Chen
Dong Zhao
35
1
0
20 May 2024
Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic
  Review
Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic Review
Sergio A. Serrano
J. Martínez-Carranza
L. Sucar
27
0
0
26 Apr 2024
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery
Xin Liu
Yaran Chen
Dong Zhao
17
0
0
29 Sep 2023
Making Offline RL Online: Collaborative World Models for Offline Visual
  Reinforcement Learning
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning
Q. Wang
Jun Yang
Yunbo Wang
Xin Jin
Wenjun Zeng
Xiaokang Yang
OffRL
OnRL
27
3
0
24 May 2023
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
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
276
339
0
14 Sep 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
243
11,659
0
09 Mar 2017
1