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20212026
most citedMulti-Agent Off-Policy TD Learning: Finite-Time Analysis with Near-Optimal Sample Complexity and Communication Complexity

3 citations · 5 across the 8 of their papers we have counts for

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math.OC2021★ 1 cited

A Cubic Regularization Approach for Finding Local Minimax Points in Nonconvex Minimax Optimization

Ziyi Chen, Zhengyang Hu, Qunwei Li +2

Gradient descent-ascent (GDA) is a widely used algorithm for minimax optimization. However, GDA has been proved to converge to stationary points for nonconvex minimax optimization,…