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

Gao Huang

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

8 / 8 papers shown

Title
Skill Expansion and Composition in Parameter Space Tenglong Liu J. Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 53 4 0 09 Feb 2025
Rank-DETR for High Quality Object Detection Yifan Pu Weicong Liang Yiduo Hao Yuhui Yuan Yukang Yang Chao Zhang Hanhua Hu Gao Huang 36 52 0 13 Oct 2023
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 54 54 0 17 Sep 2022
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning Yang Yue Bingyi Kang Zhongwen Xu Gao Huang Shuicheng Yan OffRL 27 13 0 25 Jun 2022
User-Interactive Offline Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 15 11 0 21 May 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 212 832 0 12 Oct 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu W. Xu BDL 120 81 0 16 Jan 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