Reinforcement Learning

[0.50] credits · Graduate

This course aims at providing a solid introduction to the field of Reinforcement Learning (RL). Students become familiar with the key ideas and techniques in RL, understand how RL approaches would provide intelligent decisions to various problems, and gain knowledge on the challenges and the state-of-the-art approaches including Deep Reinforcement Learning (DRL). Students are recommended to have already taken a relevant undergraduate course ( STAT*2120 or equivalent).