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- 36Mental health
- 22Machine Learning
- 10Reinforcement Learning
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- 68Graduate and Postdoctoral Studies (GPS), Faculty of
- 68Graduate 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
- 68Thesis
- 25Report
- 9Research Material
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- 4Article (Published)
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Fall 2015
Brammadesam Manavalan, Yathirajan
Displaying believable emotional reactions in virtual characters is required in applications ranging from virtual-reality trainers to video games. Manual scripting is the most frequently used method and enables an arbitrarily high fidelity of the emotions displayed. However, scripting is labor...
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Fall 2023
The transition to motherhood carries significant challenges. Teen mothers, in particular, are disproportionately impacted by mental health challenges such as anxiety and depression, compounded by criticism, judgement, and stereotyping from others in the community. If not addressed, mental health...
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2021-07-10
Adams, Cathy, Lemermeyer, Gilllian
The Alberta Teachers’ Association (ATA), the Kule Institute for Advanced Study (KIAS) and the Faculty of Education, University of Alberta engaged in a partnership to organize a research and policy scoping initiative that would report on the expected impact of artificial intelligence (AI) in...
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2010
Lin, Guohui, Shi, Xiaoyu, Hu, Yu, Zeng, Dahua, Zaiane, Osmar
Technical report TR10-04. This paper describes a novel and fast placement algorithm for field programmable gate array (FPGA) design space exploration. The proposed algorithm generates the placement based on the topological similarity between two configurations (netlists) in the design space....
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Action Elimination and Plan Neighborhood Graph Search: Two Algorithms for Plan Improvement - Extended Version
Download2010
Nakhost, Hootan, Müller, Martin
Technical report TR10-01. Compared to optimal planners, satisficing planners can solve much harder problems but may produce overly costly and long plans. Plan quality for satisficing planners has become increasingly important. The most recent planning competition IPC-2008 used the cost of the...
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Spring 2021
Learning about many things can provide numerous benefits to a reinforcement learning system. For example, learning many auxiliary value functions, in addition to optimizing the environmental reward, appears to improve both exploration and representation learning. The question we tackle in this...
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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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African Immigrant Child & Family Well-Being in Alberta First Stakeholders Meeting Proceedings
Download2017-08-12
Yohani, Sophie, Salami, Bukola, Mohamud, Habiba, Alaazi, Dominic, Ayalew, Tesfaye, Vallianatos, Helen, Nsaliwa, Christina, Okeke-Ihejirika, Philomena
Summary of Proceedings: In collaboration with partners and individuals from the African immigrant community, the Health and Immigration Policies and Practices (HiPP) Research Unit at the Faculty of Nursing, University of Alberta, convened a meeting of diverse stakeholders to deliberate on...
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2023-10-01
Low, Gail, Humbodlt, Sofia, Wilson, Donna, Gutman, Gloria, Gao, Zhiwei, França, Alex, Vitorino, Luciano, Allana, Hunaina
Good health promotion information is borne by sound evidence and advice from those who have walked a mile in older Canadians’ shoes.
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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...