Using reinforcement learning to control advanced life support systems

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dc.contributor.advisorSubramanian, Devika
dc.creatorKlein, Theresa J.
dc.date.accessioned2009-06-04T06:54:10Z
dc.date.available2009-06-04T06:54:10Z
dc.date.issued2005
dc.description.abstractThis thesis deals with the application of reinforcement learning techniques to the control of a closed life support system simulator, such as could be used on a long duration space mission. We apply reinforcement learning to two different aspects of the simulator, control of recycling subsystems, and control of crop planting schedules. Comparisons are made between distributed and centralized controllers, generalized and non-generalized RL, and between different approaches to the construction of the state table and the design of reward functions. Distributed controllers prove to be superior to centralized controllers both in terms of speed and performance of the controller. Generalization helps to speed convergence, but the performance of the policy derived is dependent on the shape of the reward function.
dc.format.extent81 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS E.E. 2005 KLEIN
dc.identifier.citationKlein, Theresa J.. "Using reinforcement learning to control advanced life support systems." (2005) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/17794">https://hdl.handle.net/1911/17794</a>.
dc.identifier.urihttps://hdl.handle.net/1911/17794
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectAerospace engineering
dc.subjectElectronics
dc.subjectElectrical engineering
dc.subjectComputer science
dc.titleUsing reinforcement learning to control advanced life support systems
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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