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Skip to Search Results- 1Artym, Corbett Raymond Walter
- 1Backs, Jonathan A.J.
- 1Bloomfield, Michael Irwin.
- 1Brown, Jennifer A.
- 1Drew, Mark Lee
- 1Edwards, Claire
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Spring 2013
Gradient-TD methods are a new family of learning algorithms that are stable and convergent under a wider range of conditions than previous reinforcement learning algorithms. In particular, gradient-TD algorithms enable off-policy problems---problems where the distribution of the data is different...
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Fall 2010
Non-Player Character (NPC) behaviors in today’s computer games are mostly generated from manually written scripts. The high cost of manually creating complex behaviors for each NPC to exhibit intelligence in response to every situation in the game results in NPCs with repetitive and artificial...
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Fall 2022
Cardiovascular diseases are the leading cause of death globally, causing nearly 17.9 million deaths per year. Early detection and treatment are critical for improving this situation. Today's wearable medical devices are becoming popular because of their price and ease of use. Many manufacturers...
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High School Physics Students’, High School Physics Teachers’, and University Physics Professors’ Conceptions about What it Means to Understand Physics: A Phenomenographic Study
DownloadSpring 2021
There is limited literature about what it means to understand physics. Previous research has focused on university physics students’ understanding of physics concepts, but no research to date has examined variations across populations of what it means to understand physics. This study begins to...
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Spring 2020
Collisions of motorized transport with wildlife impact a wide range of species and can cause injuries and economic losses to people. On roads, vehicle collisions with animals have been studied extensively, resulting in mitigation measures that reduce collisions by segregating animals and...
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Fall 2022
Machine learning has been used to solve single-agent search problems. One of its applications is to guide search algorithms by learning heuristics. However, it is difficult to provide guarantees on the quality of learning from a neural network, since the resulting heuristics can be inadmissible,...
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Spring 2014
Coach learning is a key component for developing quality coaches. While researchers have identified many ways that coaches learn, there is little agreement as to how coaches learn best. As a way of examining these discrepancies found in the research, this study’s aim was to explore how Canadian...
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Learning in simulation: theorizing Ricoeur in a study involving paramedics, pilots, and others
DownloadFall 2010
The use of simulation is becoming increasingly important in the education of practitioners whose field of work contains a low tolerance for error. In aerospace, aviation, medicine, paramedicine, and the military, simulations are expected to provide working practitioners with “on demand”...
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Fall 2015
Virtual environments are inherently social spaces where user productivity and collaborative learning can take place. However, the majority of existing studies to date investigate common behaviours such as multi-tasking within traditional face-to-face learning environments. As part of a thesis...
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Reproduction and transmission of the winter tick, Dermacentor albipictus (Packard) in central Alberta
Download1984
Masters thesis. A two part study, involving a field and laboratory component, was developed to provide information on the reproductive performance and transmission of D. albipictus under field conditions and relate this information to the die-off of moose in Alberta.