  Quantum Optimal Control is an established field of research which is
necessary for the development of Quantum Technologies. In recent years, Machine
Learning techniques have been proved usefull to tackle a variety of quantum
problems. In particular, Reinforcement Learning has been employed to address
typical problems of control of quantum systems. In this tutorial we introduce
the methods of Quantum Optimal Control and Reinforcement Learning by applying
them to the problem of three-level population transfer. The jupyter notebooks
to reproduce some of our results are open-sourced and available on github.
