Momentum-based Accelerated Q-learning. - Bowen Weng; Lin Zhao 009; Huaqing Xiong; Wei Zhang 013 (CoRR, 2019)

Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent. - Bowen Weng; Huaqing Xiong; Yingbin Liang; Wei Zhang 013 (IJCAI, 2020)

Finite-Time Analysis for Double Q-learning. - Huaqing Xiong; Lin Zhao 009; Yingbin Liang; Wei Zhang 013 (NeurIPS, 2020)

Analytical convergence regions of accelerated gradient descent in nonconvex optimization under Regularity Condition. - Huaqing Xiong; Yuejie Chi; Bin Hu 002; Wei Zhang 013 (Autom., 2020)

Momentum Q-learning with Finite-Sample Convergence Guarantee. - Bowen Weng; Huaqing Xiong; Lin Zhao 009; Yingbin Liang; Wei Zhang 013 (CoRR, 2020)

Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling. - Huaqing Xiong; Tengyu Xu; Yingbin Liang; Wei Zhang 013 (AAAI, 2021)

Faster Non-asymptotic Convergence for Double Q-learning. - Lin Zhao 009; Huaqing Xiong; Yingbin Liang (NeurIPS, 2021)

Finite-time theory for momentum Q-learning. - Bowen Weng; Huaqing Xiong; Lin Zhao 009; Yingbin Liang; Wei Zhang 013 (UAI, 2021)

Deterministic policy gradient: Convergence analysis. - Huaqing Xiong; Tengyu Xu; Lin Zhao 009; Yingbin Liang; Wei Zhang 013 (UAI, 2022)