6.S897/HST.956 Machine Learning for Healthcare (Spring 2019, MIT OCW). Instructors: Prof. David Sontag and Prof. Peter Szolovits. This course introduces students to machine learning in healthcare, including the nature of clinical data and the use of machine learning for risk stratification, disease progression modeling, precision medicine, diagnosis, subtype discovery, and improving clinical workflows.
(from ocw.mit.edu)
Lecture 16 - Reinforcement Learning, Part 1
Dr. Fredrik Johansson covers an overview of treatment policies and potential outcomes, an introduction to reinforcement learning, decision processes, reinforcement learning paradigms, and learning from off-policy data.