Searched for: contributor%3A%22Zu%C3%B1iga+Zamalloa%2C+M.A.+%28graduation+committee%29%22
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Çapanoğlu, Alp (author)
One of the most challenging types of environments for a Deep Reinforcement Learning agent to learn in are those with sparse reward functions. There exist algorithms that are designed to perform well in settings with sparse rewards, but they are often applied to continuous state-action spaces, since economically relevant problems like robotic...
bachelor thesis 2021
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van der Meulen, Maarten (author), van der Biezen, Tibbe (author)
Due to the current trend of urbanization more people will come and live in cities than ever before. This increases the need to monitor the urban environment, to be able to improve the living conditions of the urban dwellers. Our project combines the need to monitor the local environment, with a portable, self-powered and wireless weather station...
bachelor thesis 2021
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Cox, Bart (author)
Deep neural networks (DNNs) are becoming the core components of many applications running on edge devices,especially for image-based analysis, e.g., identifying objects, faces, and genders. While very successful in resource rich environments like the cloud of powerful computers, utilizing Deep Learning on edge devices for inference is not used...
master thesis 2020