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2412.10778
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Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
IEEE International Conference on Robotics and Automation (ICRA), 2024
14 December 2024
Xin Liu
Yaran Chen
Haoran Li
SSL
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Papers citing
"Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos"
50 / 55 papers shown
World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation
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20 May 2024
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29 Sep 2023
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2023
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22 Jul 2023
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization
Neural Information Processing Systems (NeurIPS), 2023
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Hongyin Zhang
Zifeng Zhuang
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26 Jun 2023
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Yanchao Sun
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Huazhe Xu
Hal Daumé
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248
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22 Jun 2023
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer
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Ke Li
Jiechuan Jiang
Zongqing Lu
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136
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22 Jun 2023
Video Prediction Models as Rewards for Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Alejandro Escontrela
Ademi Adeniji
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Ajay Jain
Xue Bin Peng
Ken Goldberg
Youngwoon Lee
Danijar Hafner
Pieter Abbeel
246
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23 May 2023
Reinforcement Learning from Passive Data via Latent Intentions
International Conference on Machine Learning (ICML), 2023
Dibya Ghosh
Chethan Bhateja
Sergey Levine
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247
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Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Xin Liu
Yaran Chen
Haoran Li
Boyu Li
Dong Zhao
SSL
517
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11 Feb 2023
Multi-View Masked World Models for Visual Robotic Manipulation
International Conference on Machine Learning (ICML), 2023
Younggyo Seo
Junsup Kim
Stephen James
Kimin Lee
Jinwoo Shin
Pieter Abbeel
VGen
371
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05 Feb 2023
STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation
IEEE International Conference on Robotics and Automation (ICRA), 2023
Yupeng Zheng
Chengliang Zhong
Pengfei Li
Huan-ang Gao
Yuhang Zheng
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Ling Wang
Hao Zhao
Guyue Zhou
Qichao Zhang
Dong Zhao
214
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02 Feb 2023
Visual Imitation Learning with Patch Rewards
International Conference on Learning Representations (ICLR), 2023
Minghuan Liu
Tairan He
Weinan Zhang
Shuicheng Yan
Zhongwen Xu
SSL
338
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02 Feb 2023
Mastering Diverse Domains through World Models
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J. Pašukonis
Jimmy Ba
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350
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10 Jan 2023
Masked World Models for Visual Control
Conference on Robot Learning (CoRL), 2022
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Danijar Hafner
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28 Jun 2022
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning
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Shuicheng Yan
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197
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Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
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Ilge Akkaya
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Jie Tang
Adrien Ecoffet
Brandon Houghton
Raul Sampedro
Jeff Clune
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470
364
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23 Jun 2022
A Survey on Model-based Reinforcement Learning
Science China Information Sciences (Sci. China Inf. Sci.), 2022
Fan Luo
Tian Xu
Hang Lai
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Yang Yu
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LRM
320
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19 Jun 2022
Reinforcement Learning with Action-Free Pre-Training from Videos
International Conference on Machine Learning (ICML), 2022
Younggyo Seo
Kimin Lee
Stephen James
Pieter Abbeel
SSL
OnRL
286
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25 Mar 2022
Masked Visual Pre-training for Motor Control
Tete Xiao
Ilija Radosavovic
Trevor Darrell
Jitendra Malik
SSL
321
285
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11 Mar 2022
Human-Level Control through Directly-Trained Deep Spiking Q-Networks
Guisong Liu
Wenjie Deng
Xiurui Xie
Li Huang
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218
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13 Dec 2021
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Albert Zhan
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SSL
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227
161
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DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
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Ingook Jang
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194
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27 Oct 2021
Intrinsically Motivated Self-supervised Learning in Reinforcement Learning
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Chenzhuang Du
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Tiejun Li
SSL
138
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26 Jun 2021
Reinforcement Learning with Prototypical Representations
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Denis Yarats
Rob Fergus
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Timothy Lillicrap
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Decoupling Representation Learning from Reinforcement Learning
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Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Haoran Li
Qichao Zhang
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183
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23 Jul 2020
Data-Efficient Reinforcement Learning with Self-Predictive Representations
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Max Schwarzer
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378
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12 Jul 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
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A Simple Framework for Contrastive Learning of Visual Representations
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Dream to Control: Learning Behaviors by Latent Imagination
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