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Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces.

Vladimir KosticPietro NovelliAndreas MaurerCarlo CilibertoLorenzo RosascoMassimiliano Pontil
Published in: CoRR (2022)
Keyphrases
  • dynamical systems
  • reproducing kernel hilbert space
  • predictive state representations
  • learning algorithm
  • active learning
  • learning tasks
  • learning problems
  • reinforcement learning
  • prior knowledge
  • regression model