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Xu-Hui Liu
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2020 – today
- 2024
- [c7]Ruifeng Chen, Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Feng Xu, Yang Yu:
Foresight Distribution Adjustment for Off-policy Reinforcement Learning. AAMAS 2024: 317-325 - [c6]Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu:
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. AAMAS 2024: 944-953 - [c5]Ruifeng Chen, Chengxing Jia, Zefang Huang, Tian-Shuo Liu, Xu-Hui Liu, Yang Yu:
Offline Transition Modeling via Contrastive Energy Learning. ICML 2024 - [c4]Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Ruifeng Chen, Zhilong Zhang, Xinwei Chen, Yang Yu:
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning. ICML 2024 - [i5]Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu:
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. CoRR abs/2403.07261 (2024) - [i4]Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Ruifeng Chen, Zhilong Zhang, Xinwei Chen, Yang Yu:
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning. CoRR abs/2407.12448 (2024) - 2023
- [c3]Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu:
How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement. AAMAS 2023: 1276-1284 - [i3]Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu:
How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement. CoRR abs/2303.02073 (2023) - 2022
- [j1]Yi-Qi Hu
, Xu-Hui Liu
, Shu-Qiao Li
, Yang Yu:
Cascaded Algorithm Selection With Extreme-Region UCB Bandit. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6782-6794 (2022) - [c2]Hong Qian, Xu-Hui Liu, Chen-Xi Su, Aimin Zhou, Yang Yu:
The Teaching Dimension of Regularized Kernel Learners. ICML 2022: 17984-18002 - [i2]Xue-Kun Jin, Xu-Hui Liu, Shengyi Jiang, Yang Yu:
Hybrid Value Estimation for Off-policy Evaluation and Offline Reinforcement Learning. CoRR abs/2206.02000 (2022) - 2021
- [c1]Xu-Hui Liu, Zhenghai Xue, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu:
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning. NeurIPS 2021: 17604-17615 - [i1]Zhenghai Xue, Xu-Hui Liu, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu:
Regret Minimization Experience Replay. CoRR abs/2105.07253 (2021)
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last updated on 2024-09-04 00:30 CEST by the dblp team
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