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Skip to Search Results- 85Artificial Intelligence
- 22Machine Learning
- 20Aggregation
- 11Frameworks
- 10Reinforcement Learning
- 8Planning
- 4Müller, Martin
- 3Mueller, Martin
- 2Bostrom, A.M.
- 2Cummings, G.G.
- 2Estabrooks, C.A.
- 2Johanson, Michael
- 70Graduate and Postdoctoral Studies (GPS), Faculty of
- 70Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 19Computing Science, Department of
- 19Computing Science, Department of/Technical Reports (Computing Science)
- 4Toolkit for Grant Success
- 4WISEST Summer Research Program
- 70Thesis
- 22Report
- 8Research Material
- 6Article (Published)
- 3Conference/Workshop Poster
- 2Conference/Workshop Presentation
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Spring 2014
Introduction of a binding or reacting liquid into a gas-solid fluidized bed is common in industrial processes (e.g. fluid coking, catalytic cracking, granulation). Ability of the liquid to spread and the attractive effect on particles due to liquid bridge formation alter the fluidization behavior...
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Fall 2013
Protein folding involves a stochastic search through the configurational energy landscape towards the native structure. Although most proteins have evolved to fold efficiently into a unique native structure, misfolding (the formation of non-native structures) occurs frequently in vivo causing a...
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Fall 2023
Many works of art are created through the process of an artist sketching and then incrementally increasing the fidelity of the artwork. This requires significant amounts of work and effort throughout, but not all steps require the same amount of artistic input. Certain parts only require...
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Spring 2010
Most crude oils contain traces of vanadyl porphyrins within their asphaltene fraction. Although these metals are only present in trace quantities, they have a significant detrimental impact on crude oil processing units; therefore, their selective removal is highly desirable. The current work...
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Fall 2014
Designing competitive Artificial Intelligence (AI) systems for Real-Time Strategy (RTS) games often requires a large amount of expert knowledge (resulting in hard-coded rules for the AI system to follow). However, aspects of an RTS agent can be learned from human replay data. In this thesis, we...
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Strengths, Weaknesses, and Combinations of Model-based and Model-free Reinforcement Learning
DownloadSpring 2016
Reinforcement learning algorithms are conventionally divided into two approaches: a model-based approach that builds a model of the environment and then computes a value function from the model, and a model-free approach that directly estimates the value function. The first contribution of this...
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2011
Technical report TR11-01. Causality is a fundamental concept in reasoning. The effectiveness of many reasoning tasks depends on the understanding of the underlying cause-effect relationships. Therefore, the notion of causality has been explored in a wide range of disciplines. Causal discovery,...
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Studying Structure-Nanoaggregation Relations of Polyaromatic Molecules in the Bulk Oil Phase and at the Oil-Water Interface Using Molecular Dynamics Simulation
DownloadSpring 2014
The detection, identification and characterization of early stage molecular association of polyaromatic molecules into nanoaggregates, where these nanoaggregates represent the first level of molecular clusters or building blocks are critical in areas such as design and fabrication of advanced 3-D...
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Spring 2011
Aggregating performance measures considerably reduces the complexity of a performance evaluation system. This dissertation analyzes the nature and characteristics of the aggregation of performance measures in institutional settings of multiple tasks and multiple periods. In multi-task settings,...