Decision Making in Large Scale Systems
Free, no sign-up neededFall 2009English
About this course
This course is an introduction to the theory and application of large-scale dynamic programming. Topics include Markov decision processes, dynamic programming algorithms, simulation-based algorithms, theory and algorithms for value function approximation, and policy search methods. The course examines games and applications in areas such as dynamic resource allocation, finance and queueing networks.
Description from MIT OpenCourseWare.
Ways to take this course
- Open MIT OpenCourseWare (new tab)MIT OpenCourseWare · Fall 2009
- Open MIT OpenCourseWare (new tab)MIT OpenCourseWare · Spring 2004