Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, September, 2020 ; Cataloged from the official version of thesis. ; Includes bibliographical references (pages 42-43). ; System dynamics allows managers and policy makers to analyze problems with non-linear feedback structures and thus counter-intuitive behavior. A main tool of system dynamics is to build a computational model of a system and analyze it to determine suitable policies to move the system to a desired goal. This work aims at using methods and algorithms from reinforcement learning to determine suitable policies for a system dynamics model. We introduce the techniques, methods and algorithms of reinforcement learning and apply them to a classical model from the system dynamics literature. ; by Aditya Thomas. ; S.M. in Engineering and Management ; S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program


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    Title :

    Determining policy for a system dynamics model using reinforcement learning



    Publication date :

    2020-01-01


    Remarks:

    1263351016


    Type of media :

    Theses


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




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