Reinforcement Learning and Decision-making

3 credits · Graduate

The focus of the course is on weekly readings of recent papers in Reinforcement Learning and Decision-Making. The instructors have created a topical list of recent papers published in leading journals. We selected the papers because they sounded important and/or interesting. We have not necessarily read them. This should help you to not only learn about the field, but also learn to spot and critique a bad paper. Typical topics that are covered include: dopamine and temporal difference learning, model-based learning, cognitive maps in the hippocampus and beyond, economic choice, and the role of replay.