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Learning from Limited and Imperfect Data in Cyber-Physical System
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Comparison of Traditional Optimal Control Methodologies to Reinforcement Learning Agents in Quadcopter Attitude Control Applications
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Physics-Informed Data-Driven Prediction and Design in Advanced Manufacturing Processes
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Asymptotic Uncertainty Quantification and Its Application in Efficient Sampling and Learning
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Integrating Machine Learning and Symbolic Reasoning: Learning to Generate Symbolic Representations from Weak Supervision
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