17 citations · 30 across the 7 of their papers we have counts for
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cs.LG2020★ 17 cited
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…
cs.LG2020★ 10 cited
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…