Reinforcement Learning, 7.5 credits

Academic year 2021/2022

  • Spring 2022, 50%, Campus

    Start date: 21 March 2022

    End date: 5 June 2022

    Application deadline: 15 October 2021

    Application code: UU-61800 Application

    Language of instruction: English

    Location: Uppsala

    Selection: Higher education credits in science and engineering (maximum 240 credits)

    Registration: 7 March 2022 – 28 March 2022

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.

More information


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Telephone: +46 18 471 31 54