EE383
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Reinforcement Learning: Behaviors and Applications
Course Description
The subject of reinforcement learning addresses the design of agents that improve decisions over time while operating within complex environments. This course covers desired agent behaviors and principled scalable approaches to realizing such behavior. Homework assignments primarily involve programming exercises carried out in Colab.
Cross Listed Courses
Grading Basis
ROP - Letter or Credit/No Credit
Min
3
Max
3
Course Repeatable for Degree Credit?
No
Course Component
Lecture
Enrollment Optional?
No
Programs
EE383
is a
completion requirement
for:
- (from the following course set: )
- (from the following course set: )