| Call Number | 12388 |
|---|---|
| Day & Time Location |
F 10:10am-12:40pm 517 Hamilton Hall |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Shipra Agrawal |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Markov Decision Processes (MDP) and Reinforcement Learning (RL) problems. Reinforcement Learning algorithms including Q-learning, policy gradient methods, actor-critic method. Reinforcement learning while doing exploration-exploitation dilemma, multi-armed bandit problem. Monte Carlo Tree Search methods, Distributional, Multi-agent, and Causal Reinforcement Learning. |
| Web Site | Vergil |
| Department | Industrial Engineering and Operations Research |
| Enrollment | 58 students (60 max) as of 2:06PM Sunday, May 11, 2025 |
| Subject | Op Research - Computer Science |
| Number | E4529 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Engineering:Undergraduate, Engineering:Graduate, GSAS |
| Section key | 20233ORCS4529E001 |