Laboratory on Reinforcement Learning and Decision Making
PSY 2350R
Subject & Catalog Number
Sign in to Add to Cart
Share
Course Information
Description
This lab course provides instruction and experience in conducting research on reinforcement learning and decision making, using a combination of computational, behavioral and neural techniques. Students will learn how to fit models of reinforcement learning and decision making to behavioral data, collect and analyze functional MRI data, and develop algorithms for artificial intelligence. Undergraduates are required to write a research report at the end of the semester on the studies conducted in the lab.
Course Notes
Open to graduate and undergraduate students working in the instructor’s laboratory. To express interest in enrollment, please email the instructor, Prof. Sam Gershman, at gershman@fas.harvard.edu.
School
Faculty of Arts & Sciences
Credits
4
Cross Reg
Available for Harvard Cross Registration
Department
Psychology
Course Component
Laboratory Research
General Education
N/A
Quantitative Reasoning with Data
N/A
Divisional Distribution
Social Sciences
Course Level
Primarily for Graduate Students
