3 papers
math.OC2026
Zeroth-Order Nonsmooth Nonconvex Optimization with Convex Liftings and Its Application to State-Feedback Policy Optimization
Xuhao Wang, Yujie Tang
Direct policy optimization is widely used in reinforcement learning and control, but generally leads to nonconvex optimization problems. For state-feedback control, the…
math.OC2024
Zeroth-Order Feedback Optimization in Multi-Agent Systems: Tackling Coupled Constraints
Yingpeng Duan, Yujie Tang
This paper investigates distributed zeroth-order feedback optimization in multi-agent systems with coupled constraints, where each agent operates its local action vector and observ…
math.OC2024
Variance-Reduced Gradient Estimator for Nonconvex Zeroth-Order Distributed Optimization
Huaiyi Mu, Yujie Tang, Jie Song +1
This paper investigates distributed zeroth-order optimization for smooth nonconvex problems, targeting the trade-off between convergence rate and sampling cost per zeroth-order gra…