Reinforcement Learning

Objetivos

The goal of this course is to provide students an overview of reinforcement learning, a very debated machine learning subfield. Reinforcement learning is the process of creating algorithms that learn to predict and behave in a stochastic environment based on previous experience. Reinforcement learning has a wide range of applications, from traditional control issues like engine optimization or dynamical system control to game play, inventory control, and a variety of other domains.