Method for training a deep-learning-based machine learning algorithm

A method for controlling a controllable system, the method comprising the following steps:

• providing a deep-learning-based machine learning algorithm for controlling a controllable system, wherein the deep-learning-based machine learning algorithm has been trained by:
• providing training data for training the deep-learning-based machine learning algorithm, the training data including sensor data,
• training, by a machine learning method, the deep-learning-based machine learning algorithm based on the training data, and
• subsequently, after the training, optimizing at least one parameter of the trained deep-learning-based machine learning algorithm based on a non-differentiable cost function;
• and
• controlling the controllable system based on the deep-learning-based machine learning algorithm.

A control device for training a deep-learning-based machine learning algorithm, the control device comprising:

• a provisioning unit configured to provide training data for training the deep-learning-based machine learning algorithm, wherein the training data includes sensor data;
• a training unit configured to train, by a machine learning method, the deep-learning-based machine learning algorithm based on the training data;
• and
• an optimization unit configured to subsequently, after the training, optimize at least one parameter of the trained deep-learning-based machine learning algorithm based on a non-differentiable cost function.

A control device for controlling a controllable system, the control device comprises:

• a provisioning unit configure to provide a deep-learning-based machine learning algorithm for controlling the controllable system, wherein the deep-learning-based machine learning algorithm has been trained by a control device for training a deep-learning-based machine learning algorithm including:
• a second provisioning unit configured to provide training data for training the deep-learning-based machine learning algorithm, wherein the training data includes sensor data,
• a training unit configured to train, by a machine learning method, the deep-learning-based machine learning algorithm based on the training data, and
• an optimization unit configured to subsequently, after the training, optimize at least one parameter of the trained deep-learning-based machine learning algorithm based on a non-differentiable cost function,
• wherein the deep-learning-based machine learning algorithm is adapted to a particular use case;
• and
• a control unit configured to control the controllable system based on the deep-learning-based machine learning algorithm.