This course aim to present a math-lite introduction to reinforcement learning. We will cover (1) the basics of Markov Decision Processes (2) primary algorithmic paradigms including model-based, value-based and policy-based learning (3) modern challenges and open problems in RL.

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.