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Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty
  and Smoothness

Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness

29 September 2023
Xiaoyu Wen
Xudong Yu
Rui Yang
Chenjia Bai
Zhen Wang
    OffRL
    OnRL
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Papers citing "Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness"

13 / 13 papers shown
Title
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
Jifeng Hu
Sili Huang
Z. Yang
Shengchao Hu
Li Shen
H. Chen
Lichao Sun
Yi-Ju Chang
Dacheng Tao
OffRL
149
0
0
03 May 2025
Supervised Optimism Correction: Be Confident When LLMs Are Sure
Supervised Optimism Correction: Be Confident When LLMs Are Sure
Jingyang Zhang
Rushuai Yang
Shunyu Liu
Ting-En Lin
Fei Huang
Yi Chen
Yongqian Li
Dacheng Tao
OffRL
20
0
0
10 Apr 2025
Residual Learning and Context Encoding for Adaptive Offline-to-Online
  Reinforcement Learning
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
Mohammadreza Nakhaei
Aidan Scannell
Joni Pajarinen
OffRL
49
1
0
12 Jun 2024
Constrained Ensemble Exploration for Unsupervised Skill Discovery
Constrained Ensemble Exploration for Unsupervised Skill Discovery
Chenjia Bai
Rushuai Yang
Qiaosheng Zhang
Kang Xu
Yi Chen
Ting Xiao
Xuelong Li
OffRL
40
3
0
25 May 2024
Ensemble Successor Representations for Task Generalization in
  Offline-to-Online Reinforcement Learning
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
Changhong Wang
Xudong Yu
Chenjia Bai
Qiaosheng Zhang
Zhen Wang
40
1
0
12 May 2024
Contrastive Representation for Data Filtering in Cross-Domain Offline
  Reinforcement Learning
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
Xiaoyu Wen
Chenjia Bai
Kang Xu
Xudong Yu
Yang Zhang
Xuelong Li
Zhen Wang
41
2
0
10 May 2024
Towards Robust Offline Reinforcement Learning under Diverse Data
  Corruption
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
Rui Yang
Han Zhong
Jiawei Xu
Amy Zhang
Chong Zhang
Lei Han
Tong Zhang
OffRL
OnRL
41
15
0
19 Oct 2023
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online
  Fine-Tuning
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
Mitsuhiko Nakamoto
Yuexiang Zhai
Anika Singh
Max Sobol Mark
Yi Ma
Chelsea Finn
Aviral Kumar
Sergey Levine
OffRL
OnRL
112
108
0
09 Mar 2023
What is Flagged in Uncertainty Quantification? Latent Density Models for
  Uncertainty Categorization
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
Hao Sun
B. V. Breugel
Jonathan Crabbé
Nabeel Seedat
M. Schaar
24
4
0
11 Jul 2022
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
214
843
0
12 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified
  Q-Ensemble
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An
Seungyong Moon
Jang-Hyun Kim
Hyun Oh Song
OffRL
105
262
0
04 Oct 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
340
1,960
0
04 May 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
165
1,632
0
02 Feb 2020
1