EdusalsaDiscover Your Stanford

CS 422

Interactive and Embodied Learning

  • Not Offered

3 units

Letter or Credit/No Credit

Most successful machine learning algorithms of today use either carefully curated, human-labeled datasets, or large amounts of experience aimed at achieving well-defined goals within specific environments. In contrast, people learn through their agency: they interact with their environments, exploring and building complex mental models of their world so as to be able to flexibly adapt to a wide variety of tasks. One crucial next direction in artificial intelligence is to create artificial agents that learn in this flexible and robust way. Students will read and take turns presenting current works, and they will produce a proposal of a feasible next research direction. Prerequisites: CS229, CS231N, CS234 (or equivalent).

Course Prequisites

Sign Up

To save CS 422 to your course bucketlist

Already Have An Account? Log In