EMGT 6116: System Identification and Reinforcement Learning

University of North Carolina, Charlotte

In-depth exploration of behavioral applications to optimal control and reinforcement learning theory. Topics include: Riccati equation; Kalman Filter; Neuro-dynamic Programming; Reinforcement Learning; and Generative Adversarial Network. Section information text: 100% online asynchronous course delivered using Canvas. Learn to use Canvas at http://canvas.charlotte.edu. Registration questions? Email [email protected]. In-depth exploration of behavioral applications to optimal control and reinforcement learning theory. Topics include: Riccati equation; Kalman Filter; Neuro-dynamic Programming; Reinforcement Learning; and Generative Adversarial Network.