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- 36Mental health
- 22Machine Learning
- 10Reinforcement Learning
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- 7Computer Games
- 69Graduate and Postdoctoral Studies (GPS), Faculty of
- 69Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 18Computing Science, Department of
- 18Computing Science, Department of/Technical Reports (Computing Science)
- 9Nursing, Faculty of
- 5Nursing, Faculty of/Health Equity
- 69Thesis
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- 11Research Material
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- 4Article (Published)
- 2Learning Object
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2013
In the field of computational game theory, games are often compared in terms of their size. This can be measured in several ways, including the number of unique game states, the number of decision points, and the total number of legal actions over all decision points. These numbers are either...
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2013-02-26
In the field of computational game theory, games are often compared in terms of their size. This can be measured in several ways, including the number of unique game states, the number of decision points, and the total number of legal actions over all decision points. These numbers are either...
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Does treating tobacco addiction in persons with mental illness compromise their quality of life?
Download2011
In contrast to overall declining smoking rates, the high rates among persons with mental illness remain unchanged. They consume 44% of purchased cigarettes and are heavier, more addicted smokers. Smoking is the most salient risk factor for their premature death, estimated at 25 years. Chemicals...
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2019-01-01
Vadim Bulitko, Sean Caulfield, Astrid Ensslin, Daniel Evans, Gillian Harvey, Scott Smallwood, Daniel Laforest, Brad Necyk, Marilène Oliver, Aidan Rowe, Isabelle Van Grimde, Jonathan Garfinkel, Tess Heinricks, Marilene Oliver, Blaine Campbell
DYSCORPIA: Future Intersections of the Body and Technology was a two-year interdisciplinary research project that brought together scholars from art and design, music, digital and medical humanities, radiology, computer science and contemporary dance in order to question what it means not to know...
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2013
Sturtevant, Nathan R., Valenzano, Richard, Schaeffer, Jonathan
While greedy best-first search (GBFS) is a popular algorithm for solving automated planning tasks, it can exhibit poor performance if the heuristic in use mistakenly identifies a region of the search space as promising. In such cases, the way the algorithm greedily trusts the heuristic can cause...
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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...