Active Learning for Nonlinear System Identification with Guarantees

18 Jun 2020Horia ManiaMichael I. JordanBenjamin Recht

While the identification of nonlinear dynamical systems is a fundamental building block of model-based reinforcement learning and feedback control, its sample complexity is only understood for systems that either have discrete states and actions or for systems that can be identified from data generated by i.i.d. random inputs... (read more)

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