Model Selection, Reinforcement Learning, Deep Learning.
(either epsilon greedy or Upper Confidence bound) and deployed for serving in production for a time step. Based on performance of model, our algorithm may choose the same model or change to another model for production serving in next time step. We calculate Mean Square Error (MSE) as a metric for