CSE579: Intelligent Control through Learning and Optimization

Catalog Description: Design or near-optimal controllers for complex dynamical systems, using analytical techniques, machine learning, and optimization. Topics from deterministic and stochastic optimal control, reinforcement learning and dynamic programming, numerical optimization in the context of control, and robotics. Prerequisite: vector calculus; linear algebra, and Matlab. Recommended: differential equations; stochastic processes, and optimization. Offered: jointly with AMATH 579.

Prerequisities: (none listed)
Credits: 3.0

---

Portions of the CSE579 web may be reprinted or adapted for academic nonprofit purposes, providing the source is accurately quoted and duly credited. The CSE579 Web: © 1993-2024, Department of Computer Science and Engineering, University of Washington. Administrative information on CSE579 (authentication required).