Method and device for ascertaining control parameters in a computer-assisted manner for a favorable action of a technical system

A device for ascertaining control parameters in a computer-assisted manner for a favorable action of a technical system, the device comprising:

• at least one sensor for detecting an initial state and a surrounding area of the technical system;
• a generating module for generating a physical simulation model of the technical system and the surrounding area on the basis of sensor data detected by the at least one sensor, wherein the surrounding area and the initial state of the technical system are continuously detected by the at least one sensor and the physical simulation model is continuously updated by the sensor data, wherein the physical simulation model is adapted based on the sensor data as input data;
• a target module for ascertaining a specified target state for the technical system, wherein various combinations of action steps on the basis of the initial state are configured to lead to the specified target state;
• a simulation module for simulating the various combinations of action steps of the technical system by the physical simulation model, on a basis of the initial state and with respect to the specified target state, control parameters of the technical system for carrying out the action steps being varied, and outputting respective resultant simulation data;
• a training module for training a machine learning routine on a basis of the respective resultant simulation data by an evaluation of a result of a respective action step;
• an optimizing module for ascertaining an optimized combination of action steps on a basis of the trained machine learning routine, the combination of action steps being assigned a favorable evaluation;
• and
• an output module for outputting the control parameters of the optimized combination of action steps for controlling the technical system.