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PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement
  Learning

PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning

23 May 2024
Chengyang Ying
Zhongkai Hao
Xinning Zhou
Xuezhou Xu
Hang Su
Xingxing Zhang
Jun Zhu
ArXivPDFHTML

Papers citing "PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning"

9 / 9 papers shown
Title
GET-Zero: Graph Embodiment Transformer for Zero-shot Embodiment
  Generalization
GET-Zero: Graph Embodiment Transformer for Zero-shot Embodiment Generalization
Austin Patel
Shuran Song
LM&Ro
22
2
0
20 Jul 2024
Pushing the Limits of Cross-Embodiment Learning for Manipulation and
  Navigation
Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation
Jonathan Yang
Catherine Glossop
Arjun Bhorkar
Dhruv Shah
Quan Vuong
Chelsea Finn
Dorsa Sadigh
Sergey Levine
33
41
0
29 Feb 2024
Q-Transformer: Scalable Offline Reinforcement Learning via
  Autoregressive Q-Functions
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
Yevgen Chebotar
Q. Vuong
A. Irpan
Karol Hausman
F. Xia
...
Brianna Zitkovich
Tomas Jackson
Kanishka Rao
Chelsea Finn
Sergey Levine
OffRL
118
81
0
18 Sep 2023
GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots
GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots
Gilbert Feng
Hongbo Zhang
Zhongyu Li
Xue Bin Peng
Bhuvan Basireddy
...
Zhitao Song
Lizhi Yang
Yunhui Liu
K. Sreenath
Sergey Levine
87
55
0
12 Sep 2022
Lipschitz-constrained Unsupervised Skill Discovery
Lipschitz-constrained Unsupervised Skill Discovery
Seohong Park
Jongwook Choi
Jaekyeom Kim
Honglak Lee
Gunhee Kim
41
43
0
02 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
258
7,337
0
11 Nov 2021
The Information Geometry of Unsupervised Reinforcement Learning
The Information Geometry of Unsupervised Reinforcement Learning
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
43
31
0
06 Oct 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit
  Partial Observability
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
Dibya Ghosh
Jad Rahme
Aviral Kumar
Amy Zhang
Ryan P. Adams
Sergey Levine
OffRL
267
107
0
13 Jul 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
321
1,944
0
04 May 2020
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