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Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online
  Reinforcement Learning

Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning

27 October 2023
Shenzhi Wang
Qisen Yang
Jiawei Gao
Matthieu Lin
Hao Chen
Liwei Wu
Ning Jia
Shiji Song
Gao Huang
    OffRL
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Papers citing "Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning"

15 / 15 papers shown
Title
Skill Expansion and Composition in Parameter Space
Skill Expansion and Composition in Parameter Space
Tenglong Liu
J. Li
Yinan Zheng
Haoyi Niu
Yixing Lan
Xin Xu
Xianyuan Zhan
58
4
0
09 Feb 2025
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy
Keru Chen
Honghao Wei
Zhigang Deng
Sen Lin
OffRL
OnRL
94
0
0
31 Dec 2024
Attention-Enhanced Short-Time Wiener Solution for Acoustic Echo
  Cancellation
Attention-Enhanced Short-Time Wiener Solution for Acoustic Echo Cancellation
Fei Zhao
Xueliang Zhang
36
0
0
25 Dec 2024
Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value
  Function Memory and Sequential Exploration
Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration
Hai Zhong
Xun Wang
Zhuoran Li
Longbo Huang
OffRL
OnRL
29
0
0
25 Oct 2024
Diffusion Policy Policy Optimization
Diffusion Policy Policy Optimization
Allen Z. Ren
Justin Lidard
Lars L. Ankile
Anthony Simeonov
Pulkit Agrawal
Anirudha Majumdar
Benjamin Burchfiel
Hongkai Dai
Max Simchowitz
45
36
0
01 Sep 2024
Unsupervised-to-Online Reinforcement Learning
Unsupervised-to-Online Reinforcement Learning
Junsu Kim
Seohong Park
Sergey Levine
OnRL
53
3
0
27 Aug 2024
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement
  Learning
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
Xu-Hui Liu
Tian-Shuo Liu
Shengyi Jiang
Ruifeng Chen
Zhilong Zhang
Xinwei Chen
Yang Yu
OffRL
OnRL
34
2
0
17 Jul 2024
A2PO: Towards Effective Offline Reinforcement Learning from an
  Advantage-aware Perspective
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective
Yunpeng Qing
Shunyu Liu
Jingyuan Cong
Kaixuan Chen
Yihe Zhou
Mingli Song
OffRL
34
1
0
12 Mar 2024
Rank-DETR for High Quality Object Detection
Rank-DETR for High Quality Object Detection
Yifan Pu
Weicong Liang
Yiduo Hao
Yuhui Yuan
Yukang Yang
Chao Zhang
Hanhua Hu
Gao Huang
38
54
0
13 Oct 2023
Learning to Weight Samples for Dynamic Early-exiting Networks
Learning to Weight Samples for Dynamic Early-exiting Networks
Yizeng Han
Yifan Pu
Zihang Lai
Chaofei Wang
S. Song
Junfen Cao
Wenhui Huang
Chao Deng
Gao Huang
59
54
0
17 Sep 2022
Value-Consistent Representation Learning for Data-Efficient
  Reinforcement Learning
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning
Yang Yue
Bingyi Kang
Zhongwen Xu
Gao Huang
Shuicheng Yan
OffRL
35
13
0
25 Jun 2022
User-Interactive Offline Reinforcement Learning
User-Interactive Offline Reinforcement Learning
Phillip Swazinna
Steffen Udluft
Thomas Runkler
OffRL
25
11
0
21 May 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
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
Jesse Zhang
Haonan Yu
Wenyuan Xu
BDL
132
82
0
16 Jan 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
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