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ORCIDQi Zhou 0008
Person information
- affiliation: University of Science and Technology of China, Hefei, China
Other persons with the same name
- Qi Zhou — disambiguation page
- Qi Zhou 0001
![[0000-0002-7759-800X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-7759-800X")
— Georgia Institute of Technology, Center for Signal & Image Processing, Atlanta, GA, USA (and 1 more) - Qi Zhou 0002 — Guangdong University of Technology, School of Automation, Guangzhou, China (and 1 more)
- Qi Zhou 0003 — China University of Geosciences, School of Information Engineering, Wuhan
- Qi Zhou 0004 — University of Edinburgh, School of Engineering, UK (and 1 more)
- Qi Zhou 0005 — Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China
- Qi Zhou 0006 — Huazhong University of Science and Technology, School of Mechanical Science and Engineering, Wuhan, China
- Qi Zhou 0007 — Georgia Institute of Technology, School of Electrical & Computer Engineering, Atlanta, GA, USA
- Qi Zhou 0009 — University of Calgary, Department of Civil Engineering, AB, Canada (and 1 more)
- Qi Zhou 0010 — Georgia Institute of Technology, Atlanta, GA, USA
- Qi Zhou 0011 — University College London, UCL Knowledge Lab, Institute of Education, UK
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2020 – today
- 2023
[c7]Qiyuan Liu, Qi Zhou, Rui Yang, Jie Wang:
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions. AAAI 2023: 8843-8851- [c6]Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang:
Efficient Exploration in Resource-Restricted Reinforcement Learning. AAAI 2023: 10279-10287 - [c5]Qi Zhou, Jie Wang, Qiyuan Liu, Yufei Kuang, Wengang Zhou, Houqiang Li:
Learning robust representation for reinforcement learning with distractions by reward sequence prediction. UAI 2023: 2551-2562 - [i6]Jie Wang, Rui Yang, Zijie Geng, Zhihao Shi, Mingxuan Ye, Qi Zhou, Shuiwang Ji, Bin Li, Yongdong Zhang, Feng Wu:
Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution. CoRR abs/2302.09601 (2023) - [i5]Qiyuan Liu, Qi Zhou, Rui Yang, Jie Wang:
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions. CoRR abs/2302.12003 (2023) - 2022
- [c4]Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li:
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization. AAAI 2022: 7247-7254 - [c3]Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li:
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic. AAAI 2022: 8612-8620 - [i4]Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang:
Efficient Exploration in Resource-Restricted Reinforcement Learning. CoRR abs/2212.06988 (2022) - 2021
- [i3]Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li:
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic. CoRR abs/2112.10504 (2021) - [i2]Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li:
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization. CoRR abs/2112.10513 (2021) - 2020
- [c2]Qi Zhou, Houqiang Li, Jie Wang:
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization. AAAI 2020: 6941-6948 - [c1]Qi Zhou, Yufei Kuang, Zherui Qiu, Houqiang Li, Jie Wang:
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method. NeurIPS 2020
2010 – 2019
- 2019
- [i1]Qi Zhou, Houqiang Li, Jie Wang:
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization. CoRR abs/1911.12574 (2019)
Coauthor Index
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