Browsing Theses by Supervisor "Crowley, Mark"
Now showing items 1-12 of 12
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Aggressiveness-regulated Multi-agent Stress Testing of Autonomous Vehicles
(University of Waterloo, 2023-09-20)The emerging era of autonomous vehicles (AVs) presents unprecedented potential for transforming global transportation. As these vehicles begin to permeate our streets, the challenge of ensuring their safety, especially in ... -
Data Reduction Algorithms in Machine Learning and Data Science
(University of Waterloo, 2021-02-19)Raw data are usually required to be pre-processed for better representation or discrimination of classes. This pre-processing can be done by data reduction, i.e., either reduction in dimensionality or numerosity (cardinality). ... -
Deep Learning and Spatial Statistics for Determining Road Surface Condition
(University of Waterloo, 2019-08-28)Machine Learning (ML), and especially Deep Learning (DL) methods, have evolved rapidly over the last years and showed remarkable advances in research areas such as computer vision and natural language processing; however, ... -
Deep Multi Agent Reinforcement Learning for Autonomous Driving
(University of Waterloo, 2020-04-29)Deep Learning and back-propagation have been successfully used to perform centralized training with communication protocols among multiple agents in a cooperative Multi-Agent Deep Reinforcement Learning (MARL) environment. In ... -
Deep Representation Learning and Prediction for Forest Wildfires
(University of Waterloo, 2019-05-17)An average of 8000 forest wildfires occurs each year in Canada burning an average of 2.5M ha/year as reported by the Government of Canada. Given the current rate of climate change, this number is expected to increase each ... -
Histopathology Image Analysis and NLP for Digital Pathology
(University of Waterloo, 2021-08-27)Information technologies based on ML with quantitative imaging and texts are playing an essential role, particularly in general medicine and oncology. DL in particular has demonstrated significant breakthroughs in Computer ... -
Integrating Affective Expressions into Robot-Assisted Search and Rescue to Improve Human-Robot Communication
(University of Waterloo, 2021-09-13)Unexplained or ambiguous behaviours of rescue robots can lead to inefficient collaborations between humans and robots in robot-assisted SAR teams. To date, rescue robots do not have the ability to interact with humans on ... -
Mining Event Traces from Real-time Systems for Anomaly Detection
(University of Waterloo, 2019-02-19)Real-time systems are a significant class of applications, poised to grow even further as autonomous vehicles and the Internet of Things (IoT) become a reality. The computation and communication tasks of the underlying ... -
Multi-Agent Reinforcement Learning in Large Complex Environments
(University of Waterloo, 2022-07-15)Multi-agent reinforcement learning (MARL) has seen much success in the past decade. However, these methods are yet to find wide application in large-scale real world problems due to two important reasons. First, MARL ... -
Population-level Indicators of Physical Activity, Sedentary Behaviour and Sleep in Canada based on Twitter
(University of Waterloo, 2018-08-17)Social media platforms contain large amounts of freely and publicly available data that could be used to measure population characteristics across different geographical regions. Analyzing public data sources such as ... -
Reinforcement Learning for Determining Spread Dynamics of Spatially Spreading Processes with Emphasis on Forest Fires
(University of Waterloo, 2018-04-20)Machine learning algorithms have increased tremendously in power in recent years but have yet to be fully utilized in many ecology and sustainable resource management domains such as wildlife reserve design, forest fire ... -
Stackelberg Multi-Agent Reinforcement Learning for Hierarchical Environments
(University of Waterloo, 2020-05-14)This thesis explores the application of multi-agent reinforcement learning in domains containing asymmetries between agents, caused by differences in information and position, resulting in a hierarchy of leaders and ...