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2.997 Decision Making in Large Scale Systems

        

2.997 Decision Making in Large Scale Systems

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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.
Material Type: Online Course
Date Added to MERLOT: October 20, 2011
Date Modified in MERLOT: October 20, 2011
Author:
Submitter: Sorel Reisman

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Mobile Compatibility: Not specified at this time
Language: English
Cost Involved: no
Source Code Available: unsure
Accessiblity Information Available: unsure
Creative Commons: Creative Commons License
This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States

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