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math.OC2024
Efficient First Order Method for Saddle Point Problems with Higher Order Smoothness
Nuozhou Wang, Junyu Zhang, Shuzhong Zhang
This paper studies the complexity of finding approximate stationary points for the smooth nonconvex-strongly-concave (NC-SC) saddle point problem: . Under the s…
math.OC2024
Gauss-Newton Temporal Difference Learning with Nonlinear Function Approximation
Zhifa Ke, Junyu Zhang, Zaiwen Wen
In this paper, a Gauss-Newton Temporal Difference (GNTD) learning method is proposed to solve the Q-learning problem with nonlinear function approximation. In each iteration, our m…
math.OC2024
First-Order Algorithms Without Lipschitz Gradient: A Sequential Local Optimization Approach
Junyu Zhang, Mingyi Hong
First-order algorithms have been popular for solving convex and non-convex optimization problems. A key assumption for the majority of these algorithms is that the gradient of the…