Reinforcement Learning, 7.5 credits
Academic year 2022/2023
Spring 2023, 50%, Campus
Start date: 20 March 2023
End date: 4 June 2023
Application deadline: 17 October 2022
Application code: UU-61800 Application
Language of instruction: English
Selection: Higher education credits in science and engineering (maximum 240 credits)
Registration: 16 February 2023 – 27 March 2023
Entry requirements: 120 credits including Probability and Statistics, Linear Algebra II, Single Variable Calculus and 10 credits of programming. Proficiency in English equivalent to the Swedish upper secondary course English 6.
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application or tuition fees. Formal exchange students will be exempted from tuition fees, as well as the application fee. Read more about fees.
Application fee: SEK 900
Tuition fee, first semester: SEK 18,125
Tuition fee, total: SEK 18,125
About the course
This course gives a solid introduction to the modern tools used to devise, implement and analyse reinforcement learning algorithms, and also introduces some key concepts from feedback control. The course covers feedback control systems, Markov decision processes, planning by dynamic programming, model-free prediction and control, learning with function approximations and deep Q-learning. Possible applications discussed during the course include classical control problems like the inverted pendulum, as well as robotics and video games.
Department of Information Technology
hus 10, Lägerhyddsvägen 1
Box 337, 751 05 UPPSALA