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Improving Deep Reinforcement Learning through Interactive Human Feedback School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Bei Peng, Dr Robert Loftin Application
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or parameter variation. Develop methods for computing task independent metrics and properties of potential neuromorphic systems to determine potential components for networks. Explore how these devices can be
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castings industry. The AMRC Castings Group is a leader in advancing casting technologies and techniques. Our team provides advanced casting expertise, including computer process modelling, design for casting
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services including data sensing, information flow and processing, and associated information decisions with computational intelligence and control. The increasing size and complexity in cyber systems pose
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, rule-based or fuzzy methods. View DetailsEmail EnquiryApply Online
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tool modelling and experimental methods to investigate the effect of the CNC micro milling process on part quality, and map the digital thread of the micro milling process. The candidate will work
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, advanced statistical methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and
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analytical methods extremely challenging. This project will apply pattern recognition and machine learning techniques to a large database of experimental data to reveal early-stage fingerprints for damage
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to exploit approximate or computational solutions; however, this can be unsatisfactory in that it lacks in valuable physical insight. This insight is often crucial in changing partial mathematical solutions
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Overview As a Research Assistant in intelligent robotics for manufacturing, you will support implementation of advanced control and learning methods to enable robots to perform complex manufacturing