ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.07693
  4. Cited By
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning

Adaptive Policy Learning for Offline-to-Online Reinforcement Learning

14 March 2023
Han Zheng
Xufang Luo
Pengfei Wei
Xuan Song
Dongsheng Li
Jing Jiang
    OffRL
    OnRL
ArXivPDFHTML

Papers citing "Adaptive Policy Learning for Offline-to-Online Reinforcement Learning"

15 / 15 papers shown
Title
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review
Suk Ki Lee
Hyunwoong Ko
AI4CE
54
0
0
30 Apr 2025
Reinforcement Learning Gradients as Vitamin for Online Finetuning
  Decision Transformers
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers
Kai Yan
A. Schwing
Yu-xiong Wang
OffRL
OnRL
36
0
0
31 Oct 2024
A Non-Monolithic Policy Approach of Offline-to-Online Reinforcement
  Learning
A Non-Monolithic Policy Approach of Offline-to-Online Reinforcement Learning
JaeYoon Kim
Junyu Xuan
Christy Jie Liang
F. Hussain
OffRL
OnRL
36
0
0
31 Oct 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Max Wilcoxson
Qiyang Li
Kevin Frans
Sergey Levine
SSL
OffRL
OnRL
57
0
0
23 Oct 2024
A General Control-Theoretic Approach for Reinforcement Learning: Theory
  and Algorithms
A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms
Weiqin Chen
M. Squillante
Chai Wah Wu
Santiago Paternain
AI4CE
32
0
0
20 Jun 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting
  Mitigation Problem
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
Maciej Wolczyk
Bartłomiej Cupiał
M. Ostaszewski
Michal Bortkiewicz
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
48
13
0
05 Feb 2024
Accelerating Exploration with Unlabeled Prior Data
Accelerating Exploration with Unlabeled Prior Data
Qiyang Li
Jason Zhang
Dibya Ghosh
Amy Zhang
Sergey Levine
OffRL
OnRL
31
9
0
09 Nov 2023
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with
  Multi-Step On-Policy Optimization
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization
Kun Lei
Zhengmao He
Chenhao Lu
Kaizhe Hu
Yang Gao
Huazhe Xu
OffRL
OnRL
51
13
0
06 Nov 2023
Improving Offline-to-Online Reinforcement Learning with Q Conditioned
  State Entropy Exploration
Improving Offline-to-Online Reinforcement Learning with Q Conditioned State Entropy Exploration
Ziqi Zhang
Xiao Xiong
Zifeng Zhuang
Jinxin Liu
Donglin Wang
OffRL
OnRL
42
0
0
07 Oct 2023
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online
  Reinforcement Learning
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning
Siyuan Guo
Yanchao Sun
Jifeng Hu
Sili Huang
Hechang Chen
Haiyin Piao
Lichao Sun
Yi-Ju Chang
OffRL
OnRL
31
7
0
13 Jun 2023
PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement
  Learning
PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning
Jianxiong Li
Xiao Hu
Haoran Xu
Jingjing Liu
Xianyuan Zhan
Ya-Qin Zhang
OffRL
OnRL
36
19
0
25 May 2023
Making Offline RL Online: Collaborative World Models for Offline Visual
  Reinforcement Learning
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning
Q. Wang
Jun Yang
Yunbo Wang
Xin Jin
Wenjun Zeng
Xiaokang Yang
OffRL
OnRL
35
3
0
24 May 2023
Leveraging Offline Data in Online Reinforcement Learning
Leveraging Offline Data in Online Reinforcement Learning
Andrew Wagenmaker
Aldo Pacchiano
OffRL
OnRL
27
37
0
09 Nov 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
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
1