ELEC_ENG 473-0
Deep Reinforcement Learning
Fundamentals of Deep Reinforcement Learning starting from its roots in dynamic programming and optimal control, and ending with some of the most popular applications in practice today; basic Q-Learning algorithm and its extensions; deep Q-Learning. Through exercises and a final course project students will gain significant hands-on experience coding up and testing reinforcement systems on a variety of interesting problems.
Prerequisites & course information
Prerequisites: ELEC_ENG 475-0 and ELEC_ENG 435-0 .
Sources
- Course catalogue ↗2026–2027