Robert Boschgmbh

Jens Stefan Buchner

Holger Ulmer

Andrej Junginger

Sebastian Boblest

Christoph-Nikolas Straehle

Thilo Strauss

Markus Hanselmann

Katharina Dormann

Damian Boborzi

Patrick Engel

A method for training a control strategy. The method includes providing training data, which demonstrate a control behavior, according to which control actions are to be generated, and training the control strategy with the aid of imitation learning by minimizing a measure of deviation between the distribution of state transitions according to the control strategy and the distribution of state transitions according to the demonstrated control behavior using the training data.

Method for training a control strategy

A method for creating a model of a technical system as a function of measured sensor data of the technical system. The method includes the following steps: initializing a symbolic regression problem. A list of mathematical functions is established, including at least one linear and/or non-linear function and/or at least a one-dimensional parameterizable characteristic curve. The at least one-dimensional characteristic curve is implemented by a Smoothed Grid Regression (SGR) model. Solving the symbolic regression problem with the aid of a genetic algorithm.

Method and device for creating a model of a technical system from measurements

A device and a computer-implemented method for classifying data, in particular for a Controller Area Network or an automotive Ethernet network. A plurality of messages is received from a communications network. A message that has a predefined message type is selected for an input variable for an input model of a plurality of input models of an artificial neural network associated with the predefined message type. The input variable is determined as a function of the message, and in an output area of the artificial neural network a prediction is output that is usable for classifying the message as a function of the input variable, or a reconstruction of an input variable is output that is usable for classifying the message as a function of this input variable.

Device and method for classifying data in particular for a controller area network or an automotive ethernet network

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Bietigheim-Bissingen, Germany

Jens Stefan Buchner