Neural Operators for Multi-Task Control and Adaptation
arXiv:2604.03449v1 Announce Type: new Abstract: Neural operator methods have emerged as powerful tools for learning mappings between infinite-dimensional function spaces, yet their potential in optimal …
David Sewell, Xingjian Li, Stepan Tretiakov, Krishna Kumar, David Fridovich-Keil
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