The course will explain methods through which an intelligent agent can learn, that is, improve its behavior from observed data and background knowledge. The learning scenarios will include on-line learning and learning from i.i.d. data (along with the PAC theory of learnability), as well as the active and reinforcement learning scenarios. Agent's knowledge will be represented through the language of logic and through graphical models. The course is given in English to all students.
The lectures are given in English for all students.