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Skip to Search Results- 144Machine Learning
- 76Optimization
- 21Artificial Intelligence
- 18Reinforcement Learning
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Spring 2021
Learning about many things can provide numerous benefits to a reinforcement learning system. For example, learning many auxiliary value functions, in addition to optimizing the environmental reward, appears to improve both exploration and representation learning. The question we tackle in this...
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Spring 2016
Monte Carlo methods are a simple, effective, and widely deployed way of approximating integrals that prove too challenging for deterministic approaches. This thesis presents a number of contributions to the field of adaptive Monte Carlo methods. That is, approaches that automatically adjust the...
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Spring 2024
In model-based reinforcement learning, an agent can improve its policy by planning: learning from experience generated by a model. Search control is the problem of determining which starting state should be used to generate this experience. Given a limited planning budget, an agent should be...
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Addressing the Challenges of Applying Machine Learning for Predicting Mental Disorders and Their Prognosis Using Two Case Studies
DownloadSpring 2019
Ghoreishiamiri, Seyedehreyhaneh
One of the principal applications of machine learning in psychiatry is to build automated tools that can help clinicians predict the diagnosis and prognosis of mental disorders using available data from patients’ profiles. Here, in two different studies, we investigate ways to use machine learn-...
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Fall 2017
High pressure carbon dioxide adsorption processes are employed in applications such as carbon dioxide capture and supercritical fluid chromatography (SFC). Carbon dioxide capture using adsorption has gained wide attention because of the promising materials that are developed for this application....
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Advanced quantitative techniques to enhance heavy and civil construction information modeling
DownloadSpring 2011
Site development in heavy and civil construction need to consider many rules such as ensuring proper drainage, prevention of flood, safety driving, optimizing earthwork, minimizing fleet travel distances, proper fleet matching and achieving high equipment utilization rates. In recent decades,...
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Spring 2021
Smart grid, typically regarded as the next generation of electrical power grid, can bring numerous benefits for electric utilities and customers with substantial economic and ecological benefits. However, uncertainties caused by the distributed power generation from renewable energy sources,...
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Spring 2023
Wheelchair-mounted robotic manipulators have the potential to help the elderly and individuals living with disabilities carry out their activities of daily living independently. While robotics researchers focus on assistive tasks from the perspective of various control schemes and motion types, ...
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An approach for Evaluating the Full Truck and Full Bucket Loading Strategies in Open-Pit Mining Using a Discrete Event Simulation and Machine Learning
DownloadFall 2022
Material loading and hauling are crucial factors in the mining industry, comprising over 50% of the costs. Many studies covered optimization and improving the efficiency of truck-shovel operations. Decreasing operating costs is vital for mining companies to remain profitable and feasible....
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An Assessment of the Impacts of Climate Change on Freight Delivery Schedule Strategies on the Mackenzie River
DownloadFall 2016
The Mackenzie River is a major freight transportation route serving many remote northern Canadian communities and mining sites. The river is only navigable during the summer and early fall months, when it is clear of ice. However, the water conditions of this river have changed significantly in...