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- 26Machine Learning
- 12Reinforcement Learning
- 8Deep Learning
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- 4Müller, Martin
- 3Mueller, Martin
- 2Johanson, Michael
- 2Nakhost, Hootan
- 2Pelletier, Francis J.
- 2Schaeffer, Jonathan
- 54Graduate and Postdoctoral Studies (GPS), Faculty of
- 54Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 18Computing Science, Department of
- 18Computing Science, Department of/Technical Reports (Computing Science)
- 5Toolkit for Grant Success
- 4Toolkit for Grant Success/Successful Grants (Toolkit for Grant Success)
- 54Thesis
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Spring 2020
Reinforcement Learning is a formalism for learning by trial and error. Unfortunately, trial and error can take a long time to find a solution if the agent does not efficiently explore the behaviours available to it. Moreover, how an agent ought to explore depends on the task that the agent is...
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An Empirical Study on Learning and Improving the Search Objective for Unsupervised Paraphrasing
DownloadSpring 2022
Research in unsupervised text generation has been gaining attention over the years. One recent approach is local search towards a heuristically defined objective, which specifies language fluency, semantic meanings, and other task-specific attributes. Search in the sentence space is realized by...
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Application of Artificial Intelligence in Hip Ultrasound and its Performance in Detecting Developmental Dysplasia of the Hip
DownloadSpring 2022
Developmental Dysplasia of Hip (DDH) which represents a wide range of abnormalities from acetabular dysplasia to fixed dislocation, is mainly defined by a loss of conformity between the femoral head and the acetabulum and it can lead to structural instability and osteoarthritis. The diagnosis of...
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Artificial Intelligence (AI) and Inclusive Innovation: Examining Contemporary AI Initiatives in sub-Saharan Africa
Download2020-07-01
Africa is increasingly becoming a market for foreign global technology companies to implement artificial intelligence (AI) projects. Most of the AI research centers, serving as subsidiary companies of major big technology companies, are developing innovative AI solutions or products to solve some...
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Spring 2022
The rapid increase in global water and energy demand due to industrialization and population growth is a pressing challenge humankind faces today. Recent estimates indicate that due to population growth and reduction of water supplies, 40% of the global population is struggling with water...
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2022-02-02
SSHRC IDG awarded 2022: This project seeks to test how language use influences customer perceptions of AI agents’ humanness and investigate when consumers prefer interacting with AI agents that are more or less human-like.This project will develop a framework to explain how, when, and why...
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Fall 2014
An agent in an adversarial, imperfect information environment must sometimes decide whether or not to take an action and, if they take the action, must choose a parameter value associated with that action. Examples include choosing to buy or sell some amount of resources or choosing whether or...
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Automated Coordination of Distributed Energy Resources using Local Energy Markets and Reinforcement Learning
DownloadFall 2024
The conventional unidirectional model of the electricity grid operations is no longer sufficient. The continued proliferation of distributed energy resources and the resultant surge in net load variability at the grid edge necessitates deploying adequate demand response methods. This thesis...