Model Selection, Reinforcement Learning, Deep Learning.
models models that are comparable in performance and whose performance crosses some threshold performance criteria are chosen as candidate models for production. Each candidate model is considered as a arm in Multi Arm Bandit. At each timestep one of the arm i.e. model has been chosen as a action