SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning

Fuente: arXiv
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Bibliographic Details
Main Authors: Zolman, Nicholas, Lagemann, Christian, Fasel, Urban, Kutz, J. Nathan, Brunton, Steven L.
Format: Preprint
Published: 2024
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