Literature

See the Schedule for the required chapters to read every week. 

Exam material: 

• Lecture slides (except lecture on Psychology & Neuroscience) & lecture notes (Brightspace)

• Reinforcement Learning: An Introduction, Richard Sutton and Andrew Barto, 2020. (free pdf) (main textbook, see Schedule for exact chapters)

• Markov Decision Process & Dynamic Programming (interactive notebook)

Prior knowledge & Experimentation (mandatory, but not explicitly tested at the exam):

• Probability (interactive notebook)

• Reports: Advice and Common Errors. (reader)

Supportive material (recommended): 

• Edugym (range of notebooks)