CSE 257
Search and Optimization
The course will cover core algorithms for sequential decision-making problems in autonomous systems. Topics include heuristic search, Monte Carlo search, deep reinforcement learning, nonlinear optimization, mixed-integer optimization, and stochastic optimization. Restricted to students within the CS75, CS78, CS89, CS88, CS77, CS80, CS81, CS83, and CS76 majors. All other students will be allowed as space permits.
Topics
- heuristic search
- Monte Carlo search
- deep reinforcement learning
- nonlinear optimization
- mixed-integer optimization
- and stochastic optimization
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027