Searched for: subject%3A%22processing%22
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Bakos, Csanád (author)
Transitioning to use automated vehicles is a gradual process. Until full automation capabilities are developed there is a need to mediate which driving entity - human or autonomous driving system (ADS) - should be in control depending on the circumstances. This research aims at investigating the switching between manual and automated driving in...
bachelor thesis 2021
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Postma, J.H. (author)
Conventionally programmed systems (e.g. robots) are not able to adapt to unforeseen changes in their task or environment. Reinforcement learning (RL), a machine learning approach, could grant this flexibility. Many fields of work could greatly benefit from this, be it in terms of cost, time or some other parameter. With RL, a learning agent...
master thesis 2015
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Walraven, E.M.P. (author)
Traffic congestion causes unnecessary delay, pollution and increased fuel consumption. In this thesis we address this problem by proposing new algorithmic techniques to reduce traffic congestion and we contribute to the development of a new Intelligent Transportation System. We present a method to determine speed limits, in which we combine a...
master thesis 2014
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Van Witteveen, K. (author)
This thesis investigates the applicability of the Probabilistic Inference for Learning COntrol (PILCO) algorithm to large systems and systems with time varying measurement noise. PILCO is a state-of-the-art model-learning Reinforcement Learning (RL) algorithm that uses a Gaussian Process (GP) model to average over uncertainties during learning....
master thesis 2014
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