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2020 – today
- 2024
[c10]Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang:
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning. AAAI 2024: 13945-13953- [c9]Min Zhang, Zifeng Zhuang, Zhitao Wang, Donglin Wang:
RotoGBML: Towards Out-of-distribution Generalization for Gradient-based Meta-learning. ICME 2024: 1-6 - [c8]Jinxin Liu, Xinghong Guo, Zifeng Zhuang, Donglin Wang:
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation. ICML 2024 - [c7]Zifeng Zhuang, Dengyun Peng, Jinxin Liu, Ziqi Zhang, Donglin Wang:
Reinformer: Max-Return Sequence Modeling for Offline RL. ICML 2024 - [i13]Ziqi Zhang, Jingzehua Xu, Zifeng Zhuang, Jinxin Liu, Donglin Wang:
Context-Former: Stitching via Latent Conditioned Sequence Modeling. CoRR abs/2401.16452 (2024) - [i12]Zifeng Zhuang, Dengyun Peng, Jinxin Liu, Ziqi Zhang, Donglin Wang:
Reinformer: Max-Return Sequence Modeling for Offline RL. CoRR abs/2405.08740 (2024) - [i11]Jinxin Liu, Xinghong Guo, Zifeng Zhuang, Donglin Wang:
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation. CoRR abs/2405.14790 (2024) - [i10]Ziqi Zhang, Zifeng Zhuang, Donglin Wang, Jingzehua Xu, Miao Liu, Shuai Zhang:
ADR-BC: Adversarial Density Weighted Regression Behavior Cloning. CoRR abs/2405.20351 (2024) - 2023
- [c6]Zifeng Zhuang, Kun Lei, Jinxin Liu, Donglin Wang, Yilang Guo:
Behavior Proximal Policy Optimization. ICLR 2023 - [c5]Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu:
CEIL: Generalized Contextual Imitation Learning. NeurIPS 2023 - [c4]Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang:
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization. NeurIPS 2023 - [i9]Zifeng Zhuang, Kun Lei, Jinxin Liu, Donglin Wang, Yilang Guo:
Behavior Proximal Policy Optimization. CoRR abs/2302.11312 (2023) - [i8]Min Zhang, Zifeng Zhuang, Zhitao Wang, Donglin Wang, Wenbin Li:
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning. CoRR abs/2303.06679 (2023) - [i7]Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang:
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning. CoRR abs/2306.12755 (2023) - [i6]Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang:
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization. CoRR abs/2306.14479 (2023) - [i5]Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu:
CEIL: Generalized Contextual Imitation Learning. CoRR abs/2306.14534 (2023) - [i4]Yachen Kang, Li He, Jinxin Liu, Zifeng Zhuang, Donglin Wang:
STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization. CoRR abs/2307.09692 (2023) - [i3]Ziqi Zhang, Xiao Xiong, Zifeng Zhuang, Jinxin Liu, Donglin Wang:
SERA: Sample Efficient Reward Augmentation in offline-to-online Reinforcement Learning. CoRR abs/2310.19805 (2023) - [i2]Hongyin Zhang, Diyuan Shi, Zifeng Zhuang, Han Zhao, Zhenyu Wei, Feng Zhao, Sibo Gai, Shangke Lyu, Donglin Wang:
RSG: Fast Learning Adaptive Skills for Quadruped Robots by Skill Graph. CoRR abs/2311.06015 (2023) - [i1]Ziqi Zhang, Jingzehua Xu, Zifeng Zhuang, Jinxin Liu, Donglin Wang:
Adaptive Proximal Policy Optimization with Upper Confidence Bound. CoRR abs/2312.07624 (2023) - 2022
- [c3]Yi-Horng Lai, Jiahan Yu, Kun Su, Lin Lan, Zexin Li, Zequn Zhang, Zifeng Zhuang:
The Continuous Time Dynamical Analysis of Heart Rate Asymmetry. CECNet 2022: 342-347 - 2021
- [c2]Zifeng Zhuang, Xintao Xiang, Siteng Huang
, Donglin Wang:
HINFShot: A Challenge Dataset for Few-Shot Node Classification in Heterogeneous Information Network. ICMR 2021: 429-436 - 2020
- [c1]Tiancheng Huang, Zifeng Zhuang, Shanshan Zhang, Donglin Wang:
Homogenization with Explicit Semantics Preservation for Heterogeneous Information Network. CIKM 2020: 2065-2068
Coauthor Index
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