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Max Sobol Mark
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 6
Top Topics
Unsupervised Learning
Viable Alternative
Perceptual Aliasing
Fine Tune
Top Venues
CoRR
ICRA
CVPR
NeurIPS
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Publications
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Jingyun Yang
,
Max Sobol Mark
,
Brandon Vu
,
Archit Sharma
,
Jeannette Bohg
,
Chelsea Finn
Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning.
ICRA
(2024)
Mitsuhiko Nakamoto
,
Simon Zhai
,
Anikait Singh
,
Max Sobol Mark
,
Yi Ma
,
Chelsea Finn
,
Aviral Kumar
,
Sergey Levine
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning.
NeurIPS
(2023)
Jingyun Yang
,
Max Sobol Mark
,
Brandon Vu
,
Archit Sharma
,
Jeannette Bohg
,
Chelsea Finn
Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning.
CoRR
(2023)
Mitsuhiko Nakamoto
,
Yuexiang Zhai
,
Anikait Singh
,
Max Sobol Mark
,
Yi Ma
,
Chelsea Finn
,
Aviral Kumar
,
Sergey Levine
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning.
CoRR
(2023)
Max Sobol Mark
,
Archit Sharma
,
Fahim Tajwar
,
Rafael Rafailov
,
Sergey Levine
,
Chelsea Finn
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias.
CoRR
(2023)
Chengxu Zhuang
,
Tianwei She
,
Alex Andonian
,
Max Sobol Mark
,
Daniel Yamins
Unsupervised Learning From Video With Deep Neural Embeddings.
CVPR
(2020)