Reinforcement Learning in Economics
Reinforcement Learning is a subfield of Machine Learning which is suitable for sequential decision making.
In this course, you will learn about the basic RL framework and how to model a problem as a Markov Decision Process. You will learn how to solve those problems with different algorithms using Python and OpenAI Gym. In particular, you will study Dynamic Programming, Monte-Carlo Methods, and Temporal Difference. First, you will solve small, discrete problems and later more complex problems using function approximation like neural networks.
More information can be found here.