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Huaqing Xiong
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2020 – today
- 2022
- [c6]Huaqing Xiong, Tengyu Xu, Lin Zhao, Yingbin Liang, Wei Zhang:
Deterministic policy gradient: Convergence analysis. UAI 2022: 2159-2169 - 2021
- [c5]Huaqing Xiong, Tengyu Xu, Yingbin Liang, Wei Zhang:
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling. AAAI 2021: 10460-10468 - [c4]Lin Zhao, Huaqing Xiong, Yingbin Liang:
Faster Non-asymptotic Convergence for Double Q-learning. NeurIPS 2021: 7242-7253 - [c3]Bowen Weng, Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang:
Finite-time theory for momentum Q-learning. UAI 2021: 665-674 - 2020
- [j1]Huaqing Xiong, Yuejie Chi
, Bin Hu, Wei Zhang:
Analytical convergence regions of accelerated gradient descent in nonconvex optimization under Regularity Condition. Autom. 113: 108715 (2020) - [c2]Bowen Weng, Huaqing Xiong, Yingbin Liang, Wei Zhang:
Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent. IJCAI 2020: 3051-3057 - [c1]Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang:
Finite-Time Analysis for Double Q-learning. NeurIPS 2020 - [i5]Huaqing Xiong, Tengyu Xu, Yingbin Liang, Wei Zhang:
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling. CoRR abs/2002.06286 (2020) - [i4]Bowen Weng, Huaqing Xiong, Yingbin Liang, Wei Zhang:
Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent. CoRR abs/2007.07422 (2020) - [i3]Bowen Weng, Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang:
Momentum Q-learning with Finite-Sample Convergence Guarantee. CoRR abs/2007.15418 (2020) - [i2]Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang:
Finite-Time Analysis for Double Q-learning. CoRR abs/2009.14257 (2020)
2010 – 2019
- 2019
- [i1]Bowen Weng, Lin Zhao, Huaqing Xiong, Wei Zhang:
Momentum-based Accelerated Q-learning. CoRR abs/1910.11673 (2019)
Coauthor Index
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