Author

Mo Zhou

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Preprint Oct 2026

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

This work develops a policy gradient framework that combines rigorous convergence analysis with learning from discrete data and integrates this framework with PhiBE, which constructs a continuous-time surrogate generator from discrete transition data.

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