Ph.D. Course: An Introduction to Reinforcement Learning - Academic Year 2022-23
In this module we will cover the fundamentals of Reinforcement Learning. We will discuss key recent papers in this area and we will outline the open challenges in this field.
The prerequisites of the module are:
- an in-depth understanding of AI fundamentals;
- a working knowledge of Deep Learning.
Calendar of the Lectures (Provisional)
Friday 22 September 4-6pm
Thursday 28 September 4-6pm
Friday 6 October 4-6pm
Thursday 12 October 4-6pm
Thursday 19 October 4-6pm
Friday 20 October 4-6pm
Friday 27 October 4-6pm
Tuesday 31 October 4-6pm
The module will be delivered through Microsoft Teams. The enrolled students will receive a link before the classes.
An extensive list of resources will be provided during the module.
Students will be invited to present and discuss papers during the module.
In order to enroll you should fill this form. The information will be used only for sending information about this module.
The deadline for enrolment is 15 September 2023 23:59pm.
If you are not a student of the Department of Computer Science and Engineering, please contact the instructor.
Last updated: 6 October 2023.