This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Search
Skip to Search Results- 35162Graduate and Postdoctoral Studies (GPS), Faculty of
- 35162Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 106St. Stephen's College
- 58St. Stephen's College/Department of Psychotherapy and Spirituality (St. Stephen's College)
- 25St. Stephen's College/Department of Theology-MTS (St. Stephen's College)
- 23St. Stephen's College/Department of Theology-DMin (St. Stephen's College)
-
Fall 2015
Electronic decision support systems have the potential to improve healthcare practices in many domains. This thesis investigates the use of data-driven decision support to help optimize brace treatment for children who have Adolescent Idiopathic Scoliosis (AIS). AIS is a spinal deformity...
-
Fall 2024
To be in flow is typically described as a state where one becomes enmeshed with the performance of a task. Flow has been extensively investigated and pioneered by the late Mihaly Robert Csikszentmihalyi in the field of positive psychology to optimize focus, presence, and pleasure. Explorations of...
-
Spring 2021
The financial landscape is in a state of major disruption through digitalization. The steady adoption of Artificial Intelligence (AI) has brought about a myriad of opportunities for banks and financial institutions to drive efficiency and innovation. These institutions are essentially...
-
Fall 2019
Recent work suggests that closed-loop electrical stimulation may restore dynamic trunk stability following neuromuscular impairment. However, developing such neuroprostheses requires quantitative predictions of the activation profiles of relevant muscles under different types of dynamic trunk...
-
Toward Practical Reinforcement Learning Algorithms: Classification Based Policy Iteration and Model-Based Learning
DownloadSpring 2017
In this dissertation, we advance the theoretical understanding of two families of Reinforcement Learning (RL) methods: Classification-based policy iteration (CBPI) and model-based reinforcement learning (MBRL) with factored semi-linear models. In contrast to generalized policy iteration, CBPI...