Author

Mart'in Hern'andez

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Preprint Oct 2026

Continuous-Time Policy Gradient from Discrete Data: Convergence Analysis and Model-Free Algorithms

Continuous-time reinforcement learning seeks an optimal policy under unknown dynamics driven by stochastic differential equations using observations collected at discrete times. We develop a policy gradient framework that combines rigorous convergence analysis with learning from discrete data. We first establish a perf...

Martín Hernández, Xin-Yan Qing, Mo Zhou et al. · 0 citations

#machine learning Jun 2026

Mean-Field PhiBE: Continuous-Time Mean-Field Reinforcement Learning from Discrete-Time Data

A first-order consistency estimate is proved showing that the value induced by an optimal MF-PhiBE policy approximates the optimal continuous-time value as the observation time step vanishes, and a policy-gradient theorem for entropy-regularized randomized feedback policies is derived.

Erhan Bayraktar, Mart'in Hern'andez, Qin-Xin Yan et al. · arXiv.org · 1 citation