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20202026
most citedReinforcement Learning with Almost Sure Constraints

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math.OC2026

Data-Driven MPC with Adaptively Sampled Non-Expert Demonstrations: Performance Guarantees and Sample Complexity

Shijie Pan, Agustin Castellano, Enrique Mallada

We study data-driven policy construction for dynamical systems using trajectories generated by surrogate finite-horizon Model Predictive Control (MPC), with the goal of approximati…