CMPE 260 - Reinforcement Learning
3 unit(s)
Reinforcement Learning (RL) and Deep Reinforcement Learning (DRL). Topics include RL formalism, Markov decision process, Deep Q-Network, and reinforcement learning programming platforms. Also covered are relevant applications of RL in various fields.
Prerequisite(s): or CMPE 255 or CMPE 257 or instructor consent.
Grading: Letter Graded
Class Schedule | Syllabus Information | University Bookstore
Add to Favorites (opens a new window)
|
