Regret Optimal Control for Uncertain Stochastic Systems: A Scenario Optimization Approach

Designing control policies that minimize regret robustly over randomly sampled system parameters can be achieved through semidefinite programming, providing strong probabilistic out-of-sample regret guarantees.