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Skip to Search Results- 101Machine learning
- 37Reinforcement learning
- 10Artificial intelligence
- 5Online learning
- 4Optimization
- 4Planning
- 4Hindle, Abram
- 4Mark A. Lewis
- 4Russell Greiner
- 3Fayek, Aminah Robinson
- 3Noonari, Juned (Supervisor)
- 3Pouria Ramazi
- 102Graduate and Postdoctoral Studies (GPS), Faculty of
- 102Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 7Master of Science in Internetworking (MINT)
- 7Master of Science in Internetworking (MINT)/Capstone Projects & Reports (Master of Science in Internetworking (MINT))
- 6Computing Science, Department of
- 5Biological Sciences, Department of
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2018
Chowdhury, S., Borle, S., Romansky, S., Hindle, Abram
Software energy consumption is a performance related non-functional requirement that complicates building software on mobile devices today. Energy hogging applications (apps) are a liability to both the end-user and software developer. Measuring software energy consumption is non-trivial,...
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Fall 2023
Self-play is a technique for machine learning in multi-agent systems where a learning algorithm learns by interacting with copies of itself. Self-play is useful for generating large quantities of data for learning, but has the drawback that agents the learner will face post-training may have...
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Hybridization of reinforcement learning and agent-based modeling to optimize construction planning and scheduling
Download2022-10-01
Kedir, Nebiyu Siraj, Somi, Sahand, Fayek, Aminah Robinson, Nguyen, Phuong H.D.
Decision-making in construction planning and scheduling is complex because of budget and resource constraints, uncertainty, and the dynamic nature of construction environments. A knowledge gap in the construction literature exists regarding decision-making frameworks with the ability to learn and...
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Hybridization of Reinforcement Learning and Agent-Based Modeling to Optimize Construction Planning and Scheduling
Download2022-10-01
Kedir, Nebiyu Siraj, Somi, Sahand, Fayek, Aminah Robinson, Nguyen, Phuong
Decision-making in construction planning and scheduling is complex because of budget and resource constraints, uncertainty, and the dynamic nature of construction environments. A knowledge gap in the construction literature exists regarding decision-making frameworks with the ability to learn and...
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Fall 2017
Cognates are words in related languages that have originated from the same word in an ancestor language, such as the English/German word pair father/Vater. Cognate information is critical in the field of historical linguistics, where it is used to determine the relationships between languages and...
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Fall 2021
Salah Mohammed Awad AL-Heejawi
The histopathological examination of tissue biopsies is used as the gold standard by pathologists for diagnosing skin cancers, such as melanoma. Traditionally, the histopathological slides are examined by clinicians under a microscope. With recent advances in digital imaging and scanning, a glass...
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Impact Evaluation of Climate Smart Agriculture Program Investments in Food Security Using Machine Learning Estimators
DownloadSpring 2023
Smallholder farmers in rural regions of developing countries are often vulnerable to climate events. Climate Smart Agriculture (CSA) seeks to sustain or improve agricultural yields while mitigating climate change. The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS)...
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Fall 2021
A common scientific challenge for putting a reinforcement learning agent into practice is how to improve sample efficiency as much as possible with limited computational or memory resources. Such available physical resources may vary in different applications. My thesis introduces some approaches...