Reinforcement Learning.

20 Dezembro 2016, 13:00 • João Marques Silva

This week's lecture provided an overview of reinforcement learning as well as brief overviews of a number of topics in data mining. The first part of the lecture covered background material in reinforcement learning and outlined the Q-learning algorithm. An example was used to convey the operation of the algorithm. The second part of the lecture covered briefly two topics in data mining, namely recommender systems and text mining, highlighting key practical applications. The lecture also listed topics in ML&DM not covered in the course, and highlighted a number of research topics.