Index Catalog // Arch : Northwestern University Institutional Repository

Description:: Machine learning is seeping into every fabric in various practical domains such as autonomous driving, wearable computing, and smart buildings. However, in the actual development and integration, especially when the learning-based components are frequently included as components of large complex systems where the physical instances can be included as interactable...
Keyword:: Transfer Learning, Reinforcement Learning, Computer Vision, Building HVAC Control, Image Classification, and Machine Learning
Subject:: Computer engineering and Computer science
Creator:: Xu, Shichao
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 05/31/2023
Date Created:: 2023-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_983783 and http://dissertations.umi.com/northwestern:16519

Description:: Attitude control in quadrotor Unmanned Aerial Vehicle (UAV) systems is traditionally managed by optimal control loops tuned to minimize errors in performance. While robust, these loops perform sub-optimally in dynamic and unpredictable environments which inspire new interest in sophisticated solution and approaches such as reinforcement learning (RL) approaches which should...
Keyword:: Intelligent Systems, Reinforcement Learning, Quadcopters, Learning and Adaptive Systemsons, Aerial Systems: Mechanics and Control, Proximal Policy Optimization, Drones, and Attitude Control
Subject:: Space vehicles--Attitude control systems, Proximal Policy Optimization, Reinforcement learning, Policy Gradient, Drone aircraft, and Machine learning
Creator:: Stephen Kleppinger,
Contributor:: Bharadwaj, Shreenidhi (advisor)
Owner:: Stephen Michael Kleppinger
Publisher:: Northwestern University
Language:: English
Date Uploaded:: 04/05/2022
Date Modified:: 04/05/2022
Date Created:: 12-2021
Resource Type:: Masters Thesis

Description:: Manufacturing processes are known for their intricacies in changing material shapes and properties. New generations of manufacturing technologies, known as flexible manufacturing, are moving toward design freedom, which allows producing parts with optimized geometries and high customizations at an affordable cost even for low-volume productions. Two prominent flexible manufacturing processes...
Keyword:: Neural Network, Reinforcement Learning, Manufacturing, Additive Manufacturing, and Artificial Intelligence
Subject:: Computational physics, Mechanical engineering, and Computer science
Creator:: Mozaffar, Mojtaba
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 10/07/2021
Date Created:: 2021-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:15685 and etdadmin_upload_839531

Description:: The ever growing desire for accurate estimation and efficient learning necessitates the efforts to quantitatively characterize uncertainties for models. In this thesis, four problems pertaining to uncertainty quantification are discussed: A sequential stopping framework of constructing fixed-precision confidence regions is proposed for a class of multivariate simulation problems where variance...
Keyword:: Ranking and Selection, Reinforcement Learning, Statistical Learning, Stochastic Gradient Descent, and Uncertainty Quantification
Subject:: Applied mathematics, Statistics, and Computer science
Creator:: Zhu, Yi
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 01/21/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:15080 and etdadmin_upload_741745

Description:: Machine learning and symbolic reasoning have been two main approaches to build intelligent systems. Symbolic reasoning has been used in many applications by making use of expressive symbolic representations to encode prior knowledge, conduct complex reasoning and provide explanations. Recently, machine learning has enabled various successful applications by learning from...
Keyword:: Structural Alignment, Structured Prediction, Semantic Parsing, Machine Learning, Reinforcement Learning, and Symbolic Reasoning
Subject:: Computer Science
Creator:: Chen Liang
Owner:: Scholarly Digital Publishing
Date Uploaded:: 10/28/2019
Date Modified:: 10/28/2019
Date Created:: 2018-01-01
Resource Type:: Dissertation

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