| Call Number | 11860 |
|---|---|
| Day & Time Location |
MW 1:10pm-2:25pm 303 Seeley W. Mudd Building |
| 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 | 65 students (60 max) as of 11:06AM Friday, October 31, 2025 |
| Status | Full |
| Subject | Op Research - Computer Science |
| Number | E4529 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Section key | 20253ORCS4529E001 |