Reinforcement Learning and Computational Decision-Making


Every semester this seminar on Reinforcement Learning (RL) covers both classical approaches and modern techniques based on deep learning methods. The seminar consists of an introductory lecture, where several topics are described. Following this, participants have to select a topic of their choice, and study related scientific papers, journals, etc. The examination consist of an oral presentation and a discussion (30min + 10min), and the writing of a report on the studied material (10-15 pages). The deadline for delivering the report is 2 weeks after the oral presentation.