The planning algorithm of Talos, the MIT entry to the DARPA Urban Challenge, in action. See Lecture 15 for more information. (Image by Emilio Frazzoli.)
Instructor(s)
Prof. Brian Charles Williams
Prof. Emilio Frazzoli
MIT Course Number
16.410 / 16.413
As Taught In
Fall 2010
Level
Undergraduate
Course Description
Course Features
- Lecture notes
- Assignments: problem sets (no solutions)
- Assignments: design (no examples)
- Assignments: programming with examples
- Exams (no solutions)
Course Description
This course surveys a variety of reasoning, optimization and decision making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their application, taken from the disciplines of artificial intelligence and operations research.
Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, and machine learning. Optimization paradigms include linear programming, integer programming, and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes.
Other Versions
Other OCW Versions
Archived versions: 