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Skip to Search Results- 1Al Onazi, Mona Moraybed
- 1Alvarado, Laura
- 1Armstrong, Kieran
- 1Atrazhev, Peter
- 1Austin, James A.
- 1Bakshi, Rita.
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Spring 2012
Mirian HosseinAbadi, MahdiehSadat
In this thesis we propose a computational model of animal behavior in spatial navigation, based on reinforcement learning ideas. In the field of computer science and specifically artificial intelligence, replay refers to retrieving and reprocessing the experiences that are stored in an abstract...
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A Pilot Study Examining Feasibility of Perioperative Rehabilitation for Inguinal Hernia Repair Surgery
DownloadSpring 2023
Introduction: Despite the relative simplicity and high frequency of inguinal hernia repair (IHR) surgery, there is little research investigating pre- or post-operative exercise and education in this population. Recommendations regarding perioperative physical activity are inconsistent and largely...
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A pilot study investigating arm and leg FES-assisted cycling as an intervention for improving ambulation after Incomplete Spinal Cord Injury
DownloadSpring 2013
People with incomplete spinal cord injury (iSCI) have the potential for recovering walking through plasticity-induced changes in the remaining neural circuitry. Current rehabilitation for walking attempts to induce such changes by providing relevant sensory inputs and motor commands through...
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Adaptive and Autonomous Switching: Shared Control of Powered Prosthetic Arms Using Reinforcement Learning
DownloadFall 2016
Powered prosthetic arms with numerous controllable functions (i.e., grip patterns or movable joints) can be challenging to operate. Gated control---a common control method for myoelectric arms and other human-machine interfaces---allows users to select a function by switching through a static...
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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...
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Fall 2009
Most story-based games today have manually-scripted non-player characters (NPCs) and the scripts are usually simple and repetitive since it is time-consuming for game developers to script each character individually. ScriptEase, a publicly-available author-oriented developer tool, attempts to...
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Fall 2021
An oft-ignored challenge of real-world reinforcement learning is that, unlike standard simulated environments, the real world does not pause when agents make learning updates. As standard simulated environments do not address this real-time aspect of learning, most available implementations of...
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Spring 2018
Facial expressions and other body language are important for human commu- nication. They complement speech and make the process of communication simple and sustainable. However, the process of communication using existing approaches to human-machine interaction is not intuitive as that of human...
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Spring 2020
In general, there are two types of pipe renewal methods, replacement and rehabilitation. Replacement methods is where pipes are replaced with new ones using original open-cut methods, or trenchless technologies such as pipe bursting and auger boring; while rehabilitation methods repair pipes by...
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Decongestive Progressive Resistance Exercise with Advanced Compression for Breast Cancer Related Lymphedema Management (DREAM): A Pilot Randomized Control Trial
DownloadFall 2018
Introduction: More than one in five women who survive breast cancer will eventually develop lymphedema. Recent studies in breast cancer lymphedema management have demonstrated that resistance exercise can improve the survivors’ quality of life without exacerbating their lymphedema. However,...