This chapter briefly overviews some additional advanced topics, ideas, and frameworks that are not studied in this book but which nevertheless deserve to be mentioned in a book dedicated to the control under uncertainty. This includes the following topics: - Clustering-based implementation of stochastic Model Predictive Control (MPC); - Learning-Based sensitivity analysisSensitivity analysis and associated feedback design; - Scenario-based implementation of stochastic MPC; Some of these topics might be very promising and their inclusion in a brief mode simply results from the need to operate choices to come up with a book of reasonable size.