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Skip to Search Results- 2Abdi Oskouie, Mina
- 2Birkbeck, Neil Aylon Charles
- 2Cai, Zhipeng
- 2Chen, Jiyang
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 70Machine Learning
- 64Reinforcement Learning
- 41Artificial Intelligence
- 36Machine learning
- 21Natural Language Processing
- 20Image processing. Digital techniques.
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Solving the LP Relaxation of Distance-Constrained Vehicle Routing Problem Using Column Generation
DownloadFall 2020
The distance-constrained vehicle routing problem (DVRP) is one of the less studied variants of vehicle routing problems. Here, the objective is to deliver packages from a depot to clients with as few delivery vehicles as possible within a given time frame. In this thesis, we tackle larger...
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Solving Witness-type Triangle Puzzles Faster with an Automatically Learned Human-Explainable Predicate
DownloadFall 2023
The Witness is a game with difficult combinatorial puzzles that are challenging for both human players and artificial intelligence based solvers. Indeed, the number of candidate solution paths to the largest puzzle considered in this thesis is on the order of 10^(15) and search-based solvers can...
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Fall 2021
The ongoing COVID-19 pandemic is impacting the lives of billions of people worldwide as well as the medical and socioeconomic systems. The genomic variability of this virus makes it capable of being prevalent in humans around the world for a long time and migrating from one place to another. It...
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Fall 2020
High stress levels and depression are commonly observed in hospitalized patients, which may negatively impact them on recovery after surgery. Sound therapy has been widely used for its effectiveness in increasing relaxation and reducing stress levels, and one could also fine-tune music features...
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Southern Michif SoundHunters: A collaborative process of re-purposing an Indigenous language learning technology
DownloadFall 2022
Many of the Indigenous languages around the world and in Canada are endangered. Furthermore, many of these languages are low-resource and suffer from a lack of language-learning resources and technology that facilitate language revitalization. To help address this problem, we created the...
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Spring 2022
In this thesis, we investigate the use of single-image depth prediction from convolutional neural networks (CNNs) in sparse and dense monocular visual simultaneous localization and mapping (SLAM) problems. Mainly, we are interested in solving three problems: (1) data association, (2) dense...
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Fall 2019
In this thesis, we investigate sparse representations in reinforcement learning. We begin by discussing catastrophic interference in reinforcement learning with function approximation, and empirically investigating difficulties of online reinforcement learning in both policy evaluation and...