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Differentially Private Timeseries Forecasts for Networked Control
We analyze a cost-minimization problem in which the controller relies on an imperfect timeseries forecast.
Robust Forecasting for Robotic Control: A Game-Theoretic Approach
In order to model real-world factors affecting future forecasts, we introduce the notion of an adversary, which perturbs observed historical time series to increase a robot's ultimate control cost.
Adversarial Examples for Model-Based Control: A Sensitivity Analysis
We propose a method to attack controllers that rely on external timeseries forecasts as task parameters.
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