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- 6Abstractions
- 5Artificial Intelligence
- 5Heuristic Search
- 5Reinforcement Learning
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- 1Asadi Atui, Kavosh
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- 1Brown, Jennifer A.
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- 1Fan, Gaojian
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Integral Urbanism: Investigating the Materiality and Spatiality of the University of Alberta Quadrangle
DownloadFall 2015
The university quadrangle is a space that exists on the majority of North American campuses, yet detailed investigation into the creation, existence and perpetuation of the quadrangle has been minimal. Considering how universities look to distinguish themselves from one another in search of the...
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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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Spring 2016
In model-based reinforcement learning a model is learned which is then used to find good actions. What model to learn? We investigate these questions in the context of two different approaches to model-based reinforcement learning. We also investigate how one should learn and plan when the reward...
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Fall 2012
The earthwork operations for reclamation add challenges and complications to common earthworks schedule and aspects such as placement locations and hauling routes…etc. The reclamation earthworks require that the soil layers structure before disturbing the land must remain the same after...
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Fall 2012
This thesis consists of two parts. First, we invented an abstraction framework called multimapping which allows multiple admissible heuristic values to be extracted from one abstract space. The key idea of this technique is to design a multimapping function which maps one state in the original...
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On Efficient Planning in Large Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning
DownloadFall 2023
A practical challenge in reinforcement learning is large action spaces that make planning computationally demanding. For example, in cooperative multi-agent reinforcement learning, a potentially large number of agents jointly optimize a global reward function, which leads to a blow-up in the...
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Fall 2018
Canada has the third largest oil reserves in the world where 97% of these reserves are located in the oil sands, Alberta province. The product resulted from the extraction of oil sands reserves is called bitumen which can be diluted and shipped to the market or it can be proceeded and upgraded...
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Planning for the Future of Urban Mobility: Interviews with Planning Professionals in Five Major Canadian Cities
DownloadFall 2020
Given that our urban centres have been dominated by the private car for a hundred years, this thesis asked what is next for Canadian cities. Previous research on the future of urban mobility, and specifically city planning and autonomous vehicles, has been from an American or Australian context....
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Spring 2014
Retail areas within cities have traditionally not only satisfied the demands for various goods and services, but also promoted community sustainability and healthy lifestyles. Since the end of World War II (WWII), retail innovations have occurred rapidly and unexpectedly. In retail development,...
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Fall 2017
Real-time strategy (RTS) games are war simulation video games in which the players perform several simultaneous tasks like gathering and spending resources, building a base, and controlling units in combat against an enemy force. RTS games have recently drawn the interest of the game AI research...