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Skip to Search Results- 19Planning
- 5Reinforcement Learning
- 4Heuristic Search
- 3Artificial Intelligence
- 2Scheduling
- 1Abstraction
- 1Asadi Atui, Kavosh
- 1Brown, Jennifer A.
- 1Faid, Julian TW
- 1Fan, Gaojian
- 1Jabbari Arfaee, Shahab
- 1Kumar,Chandan
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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
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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Enhancements to Methods for Planning and Scheduling Fabrication Projects Utilizing Multiskilled Labour Resources
DownloadSpring 2023
In prefabrication and off-site construction, various multiskilled work crews need to be assembled to work on different workstations to process custom-designed work units, each having specific requirements for material handling, assembly connections, welding, etc. However, the frequent labour...
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Fall 2013
Scaffolds are temporary structures that are built to support workers and materials and facilitate direct work on construction sites. A considerable amount of man power resources are consumed by industrial construction scaffolding, which makes effective planning and estimation of the same very...
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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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Fall 2010
We investigate the use of machine learning to create effective heuristics for single-agent search. Our method aims to generate a sequence of heuristics from a given weak heuristic h{0} and a set of unlabeled training instances using a bootstrapping procedure. The training instances that can be...
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Fall 2013
Many important problems can be cast as state-space problems. In this dissertation we study a general paradigm for solving state-space problems which we name Cluster-and-Conquer (C&C). Algorithms that follow the C&C paradigm use the concept of equivalent states to reduce the number of states...
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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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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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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...