17 citations · 30 across the 7 of their papers we have counts for
7 papers
An Unsupervised Deep Unrolling Framework for Constrained Optimization Problems in Wireless Networks
Shiwen He, Shaowen Xiong, Zhenyu An +3
In wireless network, the optimization problems generally have complex constraints, and are usually solved via utilizing the traditional optimization methods that have high computat…
Finite-Time Analysis for Double Q-learning
Huaqing Xiong, Lin Zhao, Yingbin Liang +1
Although Q-learning is one of the most successful algorithms for finding the best action-value function (and thus the optimal policy) in reinforcement learning, its implementation…
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling
Huaqing Xiong, Tengyu Xu, Yingbin Liang +1
Despite the wide applications of Adam in reinforcement learning (RL), the theoretical convergence of Adam-type RL algorithms has not been established. This paper provides the first…
Momentum-based Accelerated Q-learning
Bowen Weng, Lin Zhao, Huaqing Xiong +1
This paper studies accelerated algorithms for Q-learning. We propose an acceleration scheme by incorporating the historical iterates of the Q-function. The idea is conceptually ins…
Accelerated Target Updates for Q-learning
Bowen Weng, Huaqing Xiong, Wei Zhang
This paper studies accelerations in Q-learning algorithms. We propose an accelerated target update scheme by incorporating the historical iterates of Q functions. The idea is conce…
Analytical Convergence Regions of Accelerated Gradient Descent in Nonconvex Optimization under Regularity Condition
Huaqing Xiong, Yuejie Chi, Bin Hu +1
There is a growing interest in using robust control theory to analyze and design optimization and machine learning algorithms. This paper studies a class of nonconvex optimization…