| Call Number | 12384 |
|---|---|
| Day & Time Location |
M 7:10pm-9:40pm 627 Seeley W. Mudd Building |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Krzysztof M Choromanski |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Discusses recent advances in fields of machine learning: kernel methods, neural networks (various generative adversarial net architectures), and reinforcement learning (with applications in robotics). Quasi Monte Carlo methods in the context of approximating RBF kernels via orthogonal transforms (instances of the structured technique). Will discuss techniques such as TD(0), TD(λ), LSTDQ, LSPI, DQN. |
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 27 students (50 max) as of 3:06PM Saturday, April 27, 2024 |
| Subject | Industrial Engineering and Operations Research |
| Number | E6617 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Engineering:Graduate, GSAS |
| Campus | Morningside |
| Section key | 20233IEOR6617E001 |