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stat.ML2026
Adaptive Learning via Off-Model Training and Importance Sampling for Fully Non-Markovian Optimal Stochastic Control. Complete version
Dorival Leão, Alberto Ohashi, Simone Scotti +1
This paper studies continuous-time stochastic control problems whose controlled states are fully non-Markovian and depend on unknown model parameters. Such problems arise naturally…
stat.ML2025
Sequential Regression Learning with Randomized Algorithms
Dorival Leão, Reiko Aoki, Alberto Ohashi +1
This paper presents ``randomized SINDy", a sequential machine learning algorithm designed for dynamic data that has a time-dependent structure. It employs a probabilistic approach,…