Reinforcement Learning for Business, Economics, and Social Sciences

How do machines learn to make the right choices? How can individuals, firms, organizations, and researchers use automated decision-making? This course provides an introduction and intuition for designing algorithms that allow machines to learn based on reinforcements. Reinforcement learning provides decision rules based on learning from partial, implicit, and delayed feedback. The course includes 4 live Online Meetings, in which you will discuss the week’s contents with the instructor and fellow participants.