Literature

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

Lecture material (mandatory): 

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

• Markov Decision Process & Dynamic Programming (interactive notebook)

Prior knowledge & Experimentation (mandatory):

• Probability (interactive notebook)

• Reports: Advice and Common Errors. (reader)

Supportive material (recommended): 

• Edugym (range of notebooks)

• Learning to Play, Aske Plaat, 2020. (free pdf)