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2405.20984
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Bayesian Design Principles for Offline-to-Online Reinforcement Learning
31 May 2024
Haotian Hu
Yiqin Yang
Jianing Ye
Chengjie Wu
Ziqing Mai
Yujing Hu
Tangjie Lv
Changjie Fan
Qianchuan Zhao
Chongjie Zhang
OffRL
OnRL
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Papers citing
"Bayesian Design Principles for Offline-to-Online Reinforcement Learning"
6 / 6 papers shown
Title
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning
Yen-Ru Lai
Fu-Chieh Chang
Pei-Yuan Wu
OffRL
61
1
0
22 Aug 2024
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
Mitsuhiko Nakamoto
Yuexiang Zhai
Anika Singh
Max Sobol Mark
Yi-An Ma
Chelsea Finn
Aviral Kumar
Sergey Levine
OffRL
OnRL
109
108
0
09 Mar 2023
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
303
11,730
0
04 Mar 2022
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Masatoshi Uehara
Wen Sun
OffRL
91
144
0
13 Jul 2021
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
212
412
0
16 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
329
1,944
0
04 May 2020
1