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Laboratory on Reinforcement Learning and Decision Making

PSY 2350R

Samuel Gershman

2017 Fall

Full Term

8/30/2017 to 12/1/2017

10:00am - 11:29am

Northwest Bldg 255 (SEAS)

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Class Number:14502
Course ID:160657
Consent:Instructor
Class Capacity:No Limit

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. Open to graduate and undergraduate students working in the instructor’s laboratory. Undergraduates are required to write a research report at the end of the semester on the studies conducted in the lab.