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Skip to Search Results- 21Online learning
- 3Machine learning
- 2Artificial Intelligence
- 2Machine Learning
- 2Reinforcement learning
- 1Active learning
- 2Bowling, Michael
- 1Bard, Nolan DC
- 1Bartók, Gábor
- 1Campbell, Katherine
- 1Chen, Zhaorui
- 1Dogru, Oguzhan
- 11Graduate and Postdoctoral Studies (GPS), Faculty of
- 11Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 6Communications and Technology Graduate Program
- 6Communications and Technology Graduate Program/Capping Projects (Communications and Technology)
- 3Computing Science, Department of
- 3Computing Science, Department of/Technical Reports (Computing Science)
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Spring 2011
Current statistics suggest women form the majority of online learners. Their enrollment levels may be a result of promotional materials suggesting online learning allows learners access to flexible learning opportunities that will complement their busy lives. This research questions those...
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Motivation and the information behaviours of online learning students: the case of a professionally-oriented, graduate program
DownloadFall 2010
Online learning is a wonderful opportunity for students who cannot attend classes at conventional times and places to further their education. However, to some extent, accessing and sharing information is often quite different and potentially more difficult for this particular group (e.g., they...
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2012
Bowling, Michael, Zinkevich, Martin
Online learning aims to perform nearly as well as the best hypothesis in hindsight. For some hypothesis classes, though, even finding the best hypothesis offline is challenging. In such offline cases, local search techniques are often employed and only local optimality guaranteed. For online...
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Spring 2016
Ideal agent behaviour in multiagent environments depends on the behaviour of other agents. Consequently, acting to maximize utility is challenging since an agent must gather and exploit knowledge about how the other (potentially adaptive) agents behave. In this thesis, we investigate how an...
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Fall 2016
In an online learning problem a player makes decisions in a sequential manner. In each round, the player receives some reward that depends on his action and an outcome generated by the environment while some feedback information about the outcome is revealed. The goal of the player can be...
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Spring 2022
In this dissertation, we study online off-policy temporal-difference learning algorithms, a class of reinforcement learning algorithms that can learn predictions in an efficient and scalable manner. The contributions of this dissertation are one of the two kinds: (1) empirically studying existing...
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Recommender systems to support socio-collaborative learning in educational discussion forums
DownloadFall 2020
With the popularity of online education, many educational technologies have been introduced to support students' learning. Among them, asynchronous discussion forums are widely used to support students’ socio-collaborative learning processes. However, the forum's complex thread structure and...
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Spring 2023
Process industries involve processes that have complex, interdependent, and sometimes uncontrollable/unobservable features that are subject to a variety of uncertainties such as operational fluctuations, sensory noises, process anomalies, human involvement, market volatility, and so forth. In the...
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Fall 2012
In a partial-monitoring game a player has to make decisions in a sequential manner. In each round, the player suffers some loss that depends on his decision and an outcome chosen by an opponent, after which he receives "some" information about the outcome. The goal of the player is to keep the...