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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
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:
Physical AI
Optimal Control / Stochastic Control /Differential Games and Hamilton–Jacobi Equations
Physics-Informed Neural Networks
Scientific Machine Learning
Risk-Sensitive Decision-Making
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