Learning to Make Safe Real-Time Decisions under Uncertainty for Autonomous Robots.

By: Andersson, OlovMaterial type: TextTextSeries: Link�oping Studies in Science and Technology. Licentiate Thesis SeriesPublisher: Link�oping : Linkopings Universitet, 2020Copyright date: {copy}2020Edition: 1st edDescription: 1 online resource (74 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9789179298890Genre/Form: Electronic books.Additional physical formats: Print version:: Learning to Make Safe Real-Time Decisions under Uncertainty for Autonomous RobotsOnline resources: Click to View
Contents:
Intro -- Abstract -- Acknowledgments -- Contents -- List of Figures -- List of Tables -- Chapter 1: Introduction -- Uncertainty in the Real World - A Motivating Example -- Problem Definition -- Methodology -- Brief Outline of Contributions -- Thesis Outline -- Chapter 2: Learning and Inference -- Preliminaries -- Learning and Parameteric Models -- Gaussian Processes -- Deep Learning -- Chapter 3: Decision, Planning and Control under Uncertainty -- Making Safe Decisions Under Uncertainty -- Taxonomy of Sequential Decision Making -- Policy Optimization -- Safe Real-Time Planning Under Uncertainty -- Chapter 4: Summary and Discussion -- Summary of Contributions -- Discussion and Future Work -- Bibliography.
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Intro -- Abstract -- Acknowledgments -- Contents -- List of Figures -- List of Tables -- Chapter 1: Introduction -- Uncertainty in the Real World - A Motivating Example -- Problem Definition -- Methodology -- Brief Outline of Contributions -- Thesis Outline -- Chapter 2: Learning and Inference -- Preliminaries -- Learning and Parameteric Models -- Gaussian Processes -- Deep Learning -- Chapter 3: Decision, Planning and Control under Uncertainty -- Making Safe Decisions Under Uncertainty -- Taxonomy of Sequential Decision Making -- Policy Optimization -- Safe Real-Time Planning Under Uncertainty -- Chapter 4: Summary and Discussion -- Summary of Contributions -- Discussion and Future Work -- Bibliography.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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