Huaqing Xiong

According to our database, Huaqing Xiong authored at least 9 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Deterministic policy gradient: Convergence analysis.

Huaqing Xiong, Tengyu Xu, Lin Zhao, Yingbin Liang, Wei Zhang

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Finite-time theory for momentum Q-learning.

Bowen Weng, Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Faster Non-asymptotic Convergence for Double Q-learning.

Lin Zhao, Huaqing Xiong, Yingbin Liang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling.

Huaqing Xiong, Tengyu Xu, Yingbin Liang, Wei Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Momentum Q-learning with Finite-Sample Convergence Guarantee.

Bowen Weng, Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang

CoRR, 2020

Analytical convergence regions of accelerated gradient descent in nonconvex optimization under Regularity Condition.

Huaqing Xiong, Yuejie Chi, Bin Hu, Wei Zhang

Autom., 2020

Finite-Time Analysis for Double Q-learning.

Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent.

Bowen Weng, Huaqing Xiong, Yingbin Liang, Wei Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Momentum-based Accelerated Q-learning.

Bowen Weng, Lin Zhao, Huaqing Xiong, Wei Zhang

CoRR, 2019