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