128 citations · 233 across the 14 of their papers we have counts for
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cs.LG2019★ 18 cited
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
Yuanhao Wang, Guodong Zhang, Jimmy Ba
Many tasks in modern machine learning can be formulated as finding equilibria in \emph{sequential} games. In particular, two-player zero-sum sequential games, also known as minimax…
cs.LG2019★ 32 cited
Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP
Kefan Dong, Yuanhao Wang, Xiaoyu Chen +1
A fundamental question in reinforcement learning is whether model-free algorithms are sample efficient. Recently, Jin et al. \cite{jin2018q} proposed a Q-learning algorithm with UC…