On the synthesis of control policies from noisy example datasets: a probabilistic approach

27 Feb 2020 Gagliardi Davide Russo Giovanni

In this note we consider the problem of synthesizing optimal control policies for a system from noisy datasets. We present a novel algorithm that takes as input the available dataset and, based on these inputs, computes an optimal policy for possibly stochastic and nonlinear systems that also satisfies actuation constraints... (read more)

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Categories


  • OPTIMIZATION AND CONTROL
  • INFORMATION THEORY
  • INFORMATION THEORY
  • ADAPTATION AND SELF-ORGANIZING SYSTEMS