Machine Learning, Aritificial Intelligence, Reinforcement Learning, Neural Networks, Generative Model.
the flow. Based on the above theoretical results, the researchers then create a learning algorithm. They propose approximating the flows such that the flow conditions are obtained at convergence with enough capacity in their estimator of the flows. In this way, they will yield an objection function