Reinforcement Learning for Operations

3 credits · Undergraduate

Application of Reinforcement Learning (RL) fundamentals for sequential decision-making problems in operations, logistics, and planning. Practical deployment scenarios through virtual labs and open-source tools. No credit for students who have earned credit for ECE 5606. Prerequisites: CS 1100, 1101, 1105, or DS 1100; ECE/CS 2123 or ECE/CS 2281 or ME 2171 or BME 2900W or DS 3100 or CE 2200 or CHBE 2250. [3]