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Mathematical Foundations of AI for Control, Decision-Making, and Scientific Systems
Mathematical Foundations of AI for Control, Decision-Making, and Scientific Systems
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AI driven mechanism design. The image is from the paper Deep reinforcement learning for optimal design of compliant mechanisms based on digitized cell structures published at Engineering Applications of AI.
Keywords: Hamilton–Jacobi Equations / Optimal Control / Differential Games / Physics-Informed Neural Networks / Scientific Machine Learning /Stochastic Control · Risk-Sensitive Decision-Making
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