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2020 – today
- 2024
[j2]Xinhang Li
, Yiying Yang, Zheng Yuan, Zhe Wang, Qinwen Wang, Chen Xu, Lei Li, Jianhua He, Lin Zhang:
Progression Cognition Reinforcement Learning With Prioritized Experience for Multi-Vehicle Pursuit. IEEE Trans. Intell. Transp. Syst. 25(8): 10035-10048 (2024)- 2023
- [i7]Xinhang Li, Yiying Yang, Zheng Yuan, Zhe Wang, Qinwen Wang, Chen Xu, Lei Li, Jianhua He, Lin Zhang:
Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit. CoRR abs/2306.05016 (2023) - [i6]Enhong Liu, Joseph Suarez, Chenhui You, Bo Wu, Bingcheng Chen, Jun Hu, Jiaxin Chen, Xiaolong Zhu, Clare Zhu, Julian Togelius, Sharada P. Mohanty, Weijun Hong, Rui Du, Yibing Zhang, Qinwen Wang, Xinhang Li, Zheng Yuan, Xiang Li, Yuejia Huang, Kun Zhang, Hanhui Yang, Shiqi Tang, Phillip Isola:
The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition with Specialization and Trade. CoRR abs/2311.03707 (2023) - 2022
- [c5]Qinwen Wang, Xinhang Li, Zheng Yuan, Yiying Yang, Chen Xu, Lin Zhang:
An Opponent-Aware Reinforcement Learning Method for Team-to-Team Multi-Vehicle Pursuit via Maximizing Mutual Information Indicator. MSN 2022: 526-533 - [c4]Yiying Yang, Xinhang Li, Zheng Yuan, Qinwen Wang, Chen Xu, Lin Zhang:
Graded-Q Reinforcement Learning with Information-Enhanced State Encoder for Hierarchical Collaborative Multi-Vehicle Pursuit. MSN 2022: 534-541 - [i5]Zheng Yuan, Tianhao Wu, Qinwen Wang, Yiying Yang, Lei Li, Lin Zhang:
T3OMVP: A Transformer-based Time and Team Reinforcement Learning Scheme for Observation-constrained Multi-Vehicle Pursuit in Urban Area. CoRR abs/2203.00183 (2022) - [i4]Xinhang Li, Zihao Li, Nan Yang, Zheng Yuan, Qinwen Wang, Yiying Yang, Yupeng Huang, Xuri Song, Lei Li, Lin Zhang:
Confidence Estimation Transformer for Long-term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching. CoRR abs/2204.04612 (2022) - [i3]Qinwen Wang, Xinhang Li, Zheng Yuan, Yiying Yang, Chen Xu, Lin Zhang:
An Opponent-Aware Reinforcement Learning Method for Team-to-Team Multi-Vehicle Pursuit via Maximizing Mutual Information Indicator. CoRR abs/2210.13015 (2022) - [i2]Yiying Yang, Xinhang Li, Zheng Yuan, Qinwen Wang, Chen Xu, Lin Zhang:
Graded-Q Reinforcement Learning with Information-Enhanced State Encoder for Hierarchical Collaborative Multi-Vehicle Pursuit. CoRR abs/2210.13470 (2022) - 2021
- [c3]Zeng Li, Chuanlong Xie, Qinwen Wang:
Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator. ICML 2021: 6533-6542 - [c2]Enhong Liu, Joseph Suarez, Chenhui You, Bo Wu, Bingcheng Chen, Jun Hu, Jiaxin Chen, Xiaolong Zhu, Clare Zhu, Julian Togelius, Sharada P. Mohanty, Weijun Hong, Rui Du, Yibing Zhang, Qinwen Wang, Xinhang Li, Zheng Yuan, Xiang Li, Yuejia Huang, Kun Zhang, Hanhui Yang, Shiqi Tang, Phillip Isola:
The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition with Specialization and Trade. NeurIPS (Competition and Demos) 2021: 18-34 - 2020
- [i1]Zeng Li, Chuanlong Xie, Qinwen Wang:
Provable More Data Hurt in High Dimensional Least Squares Estimator. CoRR abs/2008.06296 (2020)
2010 – 2019
- 2015
- [c1]Qinwen Wang, Yixue Wang, Chenyang Wang, Jufeng Yang, Tao Li, Kai Wang:
Machine-readable region identification from partially blurred document images. ICDAR 2015: 231-235 - 2014
- [j1]Qinwen Wang, Jack W. Silverstein, Jian-Feng Yao:
A note on the CLT of the LSS for sample covariance matrix from a spiked population model. J. Multivar. Anal. 130: 194-207 (2014)
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