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math.OC2026
Benign Nonconvex Landscape for Policy Optimization: Infinite-Horizon Discounted MDPs with General State and Action Spaces
Xin Chen, Minda Zhao
We study the optimization landscape for infinite-horizon discounted Markov decision processes (MDPs) with general state and action spaces under structured stationary policy classes…
math.OC2026
Asymptotic Analysis of Empirical Dynamic Programming in Infinite-Horizon Stochastic Optimal Control
Xin Chen, Elif Sena Isik, Johannes Milz
We derive statistical limit theorems for sample-based approximations of infinite-horizon discounted stochastic optimal control problems in discrete time. Our first result is a func…