128 citations · 233 across the 14 of their papers we have counts for
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cs.LG2020
Refined Analysis of FPL for Adversarial Markov Decision Processes
Yuanhao Wang, Kefan Dong
We consider the adversarial Markov Decision Process (MDP) problem, where the rewards for the MDP can be adversarially chosen, and the transition function can be either known or unk…
math.OC2020★ 10 cited
On the Suboptimality of Negative Momentum for Minimax Optimization
Guodong Zhang, Yuanhao Wang
Smooth game optimization has recently attracted great interest in machine learning as it generalizes the single-objective optimization paradigm. However, game dynamics is more comp…
cs.LG2020★ 16 cited
Improved Algorithms for Convex-Concave Minimax Optimization
Yuanhao Wang, Jian Li
This paper studies minimax optimization problems , where is -strongly convex with respect to , -strongly concave with respect to and…