Index Catalog // ScholarsArchive@OSU

Bayesian methods for knowledge transfer and policy search in reinforcement learning

Creator:: Wilson, Aaron
Abstract:: How can an agent generalize its knowledge to new circumstances? To learn effectively an agent acting in a sequential decision problem must make intelligent action selection choices based on its available knowledge. This dissertation focuses on Bayesian methods of representing learned knowledge and develops novel algorithms that exploit the represented...
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE DISSERTATION OF Aaron Wilson for the

The Pursuit of Hoppiness : Propelling Hop into the Genomic Era

Creator:: Hill, Steven T.
Abstract:: Hop (Humulus lupulus L. var lupulus) is a plant of great cultural significance, used as a medicinal herb for thousands of years, and for flavor and as a preservative in brewing beer. Studies of the medicinal effects of the unique compounds produced by hop have led to interest from the...
Resource Type:: Masters Thesis
Full Text:: . CONTRIBUTION OF AUTHORS Dr. Aaron Liston provided expert background knowledge and contributed to writing

Video Analysis : Techniques for Semi-Supervised Video Object Instance Segmentation and Tracking-by-Detection in the Wild

Creator:: Firl, Alrik K.
Abstract:: This thesis consists of two major components. The first part is concerned with video object instance segmentation (VOS), which is the task of assigning per-pixel labels perframe of a video sequence to indicate foreground object instance membership, given the first frame ground truth mask. VOS has myriad applications, from video...
Resource Type:: Masters Thesis

Painterly rendering using space-time varying style parameters

Creator:: Kagaya, Mizuki
Abstract:: Automatic painterly rendering systems have been proposed but they opted for selecting a single style to generate paintings from images, which lacks the ability of creatively using multiple styles to focus important objects and deemphasize unimportant part of the scenes. We provide a multi-style painting framework to address this issue...
Resource Type:: Masters Thesis
Full Text:: , AARON, which is capable of drawing human figures and plants [7]. Winkenbach introduced an automatic pen

Auxiliary Tasks for Efficient Learning of Point-Goal Navigation

Creator:: Desai, Saurabh Satish
Abstract:: Top-performing approaches to embodied AI tasks like point-goal navigation often rely on training agents via reinforcement learning over tens of millions (or even billions) of experiential steps – learning neural agents that map directly from visual observations to actions. In this work, we question whether these extreme training durations are...
Resource Type:: Masters Thesis

Semantic embodied navigation : developing agents that navigate from language and vision

Creator:: Krantz, Jacob
Abstract:: Autonomous robotic agents are on their way to becoming in-home personal assistants, construction assistants, and warehouse workers. The degree of autonomy of such systems is reflected by the manner in which we specify goals to them; the abstraction of low-level commands to high-level goals goes hand-in-hand with increased autonomy. In...
Resource Type:: Dissertation

Counterfactual States for Atari Agents via Generative Deep Learning

Creator:: Olson, Matthew L.
Abstract:: Although deep reinforcement learning agents have produced impressive results in many domains, their decision making is difficult to explain to humans. To address this problem, past work has mainly focused on explaining why an action was chosen in a given state. A different type of explanation that is useful is...
Resource Type:: Masters Thesis

Newcomers’ Barriers. . . Is That All? An Analysis of Mentors’ and Newcomers’ Barriers in OSS Projects

Creator:: Balali, Sogol
Abstract:: Newcomers’ seamless onboarding is important for open collaboration communi- ties, particularly those that leverage outsiders’ contributions to remain sustainable. Nevertheless, previous work shows that OSS newcomers often face several barriers to contribute, which lead them to lose motivation and even give up on contributing. A well-known way to help newcomers...
Resource Type:: Masters Thesis

Spreadsheet Explanation Through Table Abstraction

Creator:: Dan, Mihai
Abstract:: Spreadsheets are a pervasive technology throughout personal and industrial use. Often times, the user is not the author, contributing to a lack of understanding of the purpose and functionality of a spreadsheet. Furthermore, the lack of understanding is a major reason for mistakes in the use and maintenance of spreadsheets....
Resource Type:: Masters Thesis
Full Text:: , the formula in cell C9, originally SUM(C5:C8), is shown as SUM(Jan | James Bourne ... Jan | Jasmine

Investigating Latent State and Uncertainty Representations in Reinforcement Learning

Creator:: Koul, Anurag
Abstract:: Learning latent space representations of high-dimensional world states has been at the core of recent rapid growth in reinforcement learning(RL). At the same time, RL algo- rithms have suffered from ignored uncertainties in the predicted estimates of model-free or model-based methods. In our work, we investigate both of these aspects...
Resource Type:: Dissertation

ScholarsArchive@OSU

Bayesian methods for knowledge transfer and policy search in reinforcement learning

The Pursuit of Hoppiness : Propelling Hop into the Genomic Era

Video Analysis : Techniques for Semi-Supervised Video Object Instance Segmentation and Tracking-by-Detection in the Wild

Painterly rendering using space-time varying style parameters

Auxiliary Tasks for Efficient Learning of Point-Goal Navigation

Semantic embodied navigation : developing agents that navigate from language and vision

Counterfactual States for Atari Agents via Generative Deep Learning

Newcomers’ Barriers. . . Is That All? An Analysis of Mentors’ and Newcomers’ Barriers in OSS Projects

Spreadsheet Explanation Through Table Abstraction

Investigating Latent State and Uncertainty Representations in Reinforcement Learning

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