I stumbled upon a job offer from a company that was looking for someone who was good with Reinforcement Learning (applied to finance) and something in their offer caught my eye. It goes something like this:
We want you to be able to study the price dynamic (of a stock I suppose) and its evolution in order to extract a Joint PDF that will be used in the Optimal Stochastic Control of a Loss Function (or gain)
The thing is I understand what each of these things mean and how they are used separately (from my background in Control theory & dynamical systems) and I worked with fitting Joint PDFs and Copulas before, but I don't understand how a Joint PDF would help with the "Optimal Stochastic Control of a Loss Function" ? Thanks.