Spring 2025
NEU 242 001 - SEM 001
Reinforcement Learning and Decision-making
David J Foster, Joni Wallis
Class #:31556
Units: 3
Instruction Mode:
In-Person Instruction
Offered through
Neuroscience
Current Enrollment
Total Open Seats:
21
Enrolled: 19
Waitlisted: 0
Capacity: 40
Waitlist Max: 0
No Reserved Seats
Hours & Workload
2 hours of student-instructor coverage of course materials per week, and 7 hours of outside work hours per week.
Other classes by David J Foster
Other classes by Joni Wallis
Course Catalog Description
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.
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials
Associated Sections
None