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- All Subjects: Machine Learning
- All Subjects: Music
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Member of: Theses and Dissertations
Description
In this project, the use of deep neural networks for the process of selecting actions to execute within an environment to achieve a goal is explored. Scenarios like this are common in crafting based games such as Terraria or Minecraft. Goals in these environments have recursive sub-goal dependencies which form a dependency tree. An agent operating within these environments have access to low amounts of data about the environment before interacting with it, so it is crucial that this agent is able to effectively utilize a tree of dependencies and its environmental surroundings to make judgements about which sub-goals are most efficient to pursue at any point in time. A successful agent aims to minimizes cost when completing a given goal. A deep neural network in combination with Q-learning techniques was employed to act as the agent in this environment. This agent consistently performed better than agents using alternate models (models that used dependency tree heuristics or human-like approaches to make sub-goal oriented choices), with an average performance advantage of 33.86% (with a standard deviation of 14.69%) over the best alternate agent. This shows that machine learning techniques can be consistently employed to make goal-oriented choices within an environment with recursive sub-goal dependencies and low amounts of pre-known information.
ContributorsKoleber, Derek (Author) / Acuna, Ruben (Thesis director) / Bansal, Ajay (Committee member) / W.P. Carey School of Business (Contributor) / Software Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
"Look Up" is a full length hip hop concept album that follows a day in the life of protagonist Ozy Mandias, except with a science fiction twist. He has been abducted by an alien who is going through his memories. The project includes a full length script and lyric companion as well as a package mood visuals to go along with the album.
ContributorsDurkin, Jonathan Joseph (Author) / Mantie, Roger (Thesis director) / Norby, Christopher (Committee member) / School of Earth and Space Exploration (Contributor) / W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Abstract: The Ultimate Fighting Championship or UFC as it is commonly known, was founded in 1993 and has quickly built itself into the world's foremost authority on all things MMA (mixed martial arts) related. With pay-per-view and cable television deals in hand, the UFC has become a huge competitor in the sports market, rivaling the popularity of boxing for almost a decade. As with most other sports, the UFC has seen an influx of various analytics and data science over the past five to seven years. We see this revolution in football with the broadcast first down markers, basketball with tracking player movement, and baseball with locating pitches for strikes and balls, and now the UFC has partnered with statistics company Fightmetric, to provide in-depth statistical analysis of its fights. ESPN has their win probability metrics, and statistical predictive modeling has begun to spread throughout sports. All these stats were made to showcase the information about a fighter that one wouldn't typically know, giving insight into how the fight might go. But, can these fights be predicted? Based off of the research of prior individuals and combining the thought processes of relevant research into other sports leagues, I sought to use the arsenal of statistical analyses done by Fightmetric, along with the official UFC fighter database to answer the question of whether UFC fights could be predicted. Specifically, by using only data that would be known about a fighter prior to stepping into the cage, could I predict with any degree of certainty who was going to win the fight?
ContributorsMoorman, Taylor D. (Author) / Simon, Alan (Thesis director) / Simon, Phil (Committee member) / W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Due to increasing lack of resources and funding for budding student musicians, it is often not possible for this demographic to create, record, and produce their original music in the same high-budget studio environment in which music has been traditionally made. The objective of this project is to explore alternatives which are more accessible to young independent musicians and reveal the most cost-efficient routes to obtain a high-quality result. To make this comparison, the group created budget recordings of their original music in a bedroom in true DIY fashion, and then recorded the same songs in a professional music studio using the best music and recording equipment available. The DIY recordings were mixed and mastered by the group members themselves, as well as separately by a professional audio engineer. The studio recordings were also mixed and mastered by a professional audio engineer, resulting in three final products with varying costs and quality. Ultimately, the group found that without mixing and mastering experience, it is very difficult to achieve high quality results. With the same budget recorded tracks, the group found that quality of the final product vastly increased when a professional audio engineer mixed and mastered the tracks. As far as the quality of the result, the studio recorded tracks were by far the best. Not only was the quality of the sounds from the high-end music and recording equipment much higher, the band had more freedom to be creative without the responsibility of simultaneously serving as recording engineers as was the case in the low budget recordings. The group concluded that this project was highly successful and demonstrated that high quality results could be obtained on a budget. The DIY recording techniques used in this project prove that independent musicians without access to expensive equipment and resources can still produce high quality music at the cost of more effort to serve as audio engineers in addition to musicians. However, recording in a studio with the help of a producer and professional audio engineers affords creative freedom and an increase in sound quality that is simply not possible to reproduce without the equipment and expertise that money can buy.
ContributorsBonk, Alan (Co-author) / Dhuyvetter, Nicholas Alan (Co-author) / Wickham, Kevin (Co-author) / Tobias, Evan (Thesis director) / Swoboda, Deanna (Committee member) / W.P. Carey School of Business (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05