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Fall 2022

Tapkan, Mustafa B

Imperfect information games model many large-scale real-world problems. Hex is the classic two-player zero-sum no-draw connection game where each player wants to join their two sides. Dark Hex is an imperfect information version of Hex in which each player sees only their own moves. Finding Nash...

Fall 2023

Chui, Daniel CY

Modelling agent preferences has applications in a range of fields including economics and increasingly, artificial intelligence. These preferences are not always known and thus may need to be estimated from observed behavior, in which case a model is required to map agent preferences to...

Spring 2021

Bennett, Brendan

Temporal difference (TD) methods provide a powerful means of learning to make predictions in an online, model-free, and highly scalable manner. In the reinforcement learning (RL) framework, we formalize these prediction targets in terms of a (possibly discounted) sum of rewards, called the...

Fall 2024

De Asis, Kris

Value-based reinforcement learning is an approach to sequential decision making in which decisions are informed by learned, long-horizon predictions of future reward. This dissertation aims to understand issues that value-based methods face and develop algorithmic ideas to address these issues....

Fall 2020

Kazemian, Sepehr

Wireless channel utilization prediction is useful in a number of applications, such as the recently proposed modalities of LTE networks allowing them to use unlicensed bands (LTE-U), otherwise used by Wi-Fi devices. Wireless utilization, as we are also able to also confirm, exhibits...

Fall 2023

Davis, Sarah (Sacha) Maren

The rate of 30-day hospital readmission is a common measurement of hospital quality, which can affect the funding a hospital receives. Over a quarter of readmissions are estimated to be preventable with adequate interventions, but these interventions are themselves costly. For this reason, many...

Fall 2019

Ni, Weite

Question answering (QA) is the task of automatically finding answers to natural language questions. A QA system requires access to some form of knowledge in order to find the answers. Most QA tasks use raw text corpora or structured knowledge bases as knowledge. However, raw text corpora,...

Fall 2023

Afrin, Afia

The increasing complexity of electric power grids, owing to the integration of Distributed Energy Resources (DER), electric vehicles, energy storage systems, and advanced metering infrastructure, has stimulated a surge in research on machine learning-based state estimation and control. In this...

Fall 2021

Salimi, Amir Saeid

This work focuses on the virtual generation of short percussive samples which can be used by electronic music artists in their compositions. Although recent advancements in digital synthesis, heuristic search, and neural networks have been utilized for the generation of a variety of sounds, the...

Fall 2024

Tan, Zijie

Distribution learning has long been a key area of research in computer vision. However, the potential of combining distribution learning with deep learning remains underexplored. To bridge this gap, this thesis discusses two proposed methods. The first, Differentiable Arithmetic Distribution...