EE 290O-001. Deep multi-agent reinforcement learning with applications to autonomous traffic

Catalog Description: The 290 courses cover current topics of research interest in electrical engineering. The course content may vary from semester to semester.

Units: 1-3

Prerequisites: Consent of instructor.

Fall: 1-3 hours of lecture per week
Spring: 1-3 hours of lecture per week

Grading basis: letter

Final exam status: No final exam

Also listed as: EL ENG 290O

Class Schedule (Fall 2018):
TuTh 3:30PM - 4:59PM, Cory 531 – Alexandre M. Bayen

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