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20182025
most citedRobust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms

7 citations · 11 across the 7 of their papers we have counts for

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math.OC2023★ 1 cited

Stochastic Gradient Descent in the Viewpoint of Graduated Optimization

Da Li, Jingjing Wu, Qingrun Zhang

Stochastic gradient descent (SGD) method is popular for solving non-convex optimization problems in machine learning. This work investigates SGD from a viewpoint of graduated optim…