Tag: uncertainty

2 entries

Data-Assimilation-Assisted Reinforcement Learning for Power Grid Control under Load Uncertainty

ScientificML

Investigates how load information quality affects power grid control using a DC power flow model and Grid2Op-inspired simulator, exploring data assimilation combined with reinforcement learning strategies.

New See LICENSE file power grid controlreinforcement learningdata assimilation

Expected Hypervolume Maximization for Multiobjective Optimization under Uncertainties

ScientificML

Proposes a Bayesian decision-theoretic framework for multiobjective optimization under uncertainties, maximizing the expected hypervolume with respect to input points using gradient-based stochastic optimization.

See LICENSE file multiobjective optimizationuncertaintyhypervolume

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