Learning to Make Safe Real-Time Decisions under Uncertainty for Autonomous Robots.
| Main Author: | |
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| Format: | eBook |
| Language: | English |
| Published: |
Linköping :
Linkopings Universitet,
2020.
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| Edition: | 1st ed. |
| Series: | Linköping Studies in Science and Technology. Licentiate Thesis Series
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| Subjects: | |
| Online Access: | Click to View |
Table of 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.