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20222026
most citedConstrained Reinforcement Learning for Predictive Control in Real-Time Stochastic Dynamic Optimal Power Flow

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cs.RO2026

Geometric Distributional Control: Learning Progress with Partial Structural Knowledge

Tong Wu

Real-time control often sits between two limiting regimes. Predictive optimization and model-based control are powerful when dynamics, parameters, objectives, and online planning m…