Abstract: A computer-implemented method for learning a strategy and/or method for learning a synthetic environment. The strategy is configured to control an agent, and the method includes: providing synthetic environment parameters and a real environment and a population of strategies. Subsequently, repeating the following steps for a predetermined number of repetitions as a first loop: carrying out for each strategy of the population of strategies subsequent steps as a second loop: disturb the synthetic environment parameters with random noise; train for a first given number of step the strategy on the disturbed synthetic environment; evaluate the trained strategy on the real environment by determining rewards of the trained strategies; updating the synthetic environment parameters depending on the noise and the rewards. Finally, outputting the evaluated strategy with the highest reward on the real environment or with the best trained strategy on the disturbed synthetic environment.

Abstract: Computer-implemented method for creating a system, which is suitable for creating in an automated manner a machine learning system for computer vision. The method includes: providing predefined hyperparameters; determining an optimal parameterization of the hyperparameters using BOHB (Bayesian optimization (BO) and Hyperband (HB)) for a plurality of different training data sets; assessing all optimal parameterizations on all training data sets of the plurality of different training data sets with the aid of a normalized metric; creating a matrix, the matrix including the evaluated normalized metric for each parameterization and for each training data set; determining meta-features for each of the training data sets; optimizing a decision tree, which outputs as a function of the meta-features and of the matrix which of the optimal parameterization using BOHB is a suitable parameterization for the given meta-features.

Abstract: A method for locating a body in the form of an object situated within a parking lot, the body including a communication interface for communicating via a wireless communication network, including the following steps: reception by the communication interface, via the wireless communication network, of position data of one or more vehicles traveling within the parking lot, the position data indicating a respective instantaneous position of the traveling vehicle or vehicles within the parking lot; location of the body within the parking lot based on the received position data. A corresponding device is also described. A method and a device for operating a vehicle traveling within a parking lot are also described. A body in the form of an object, a vehicle, and a computer program are also described.

Abstract: A method for locating a body in the form of an object situated within a parking lot, the body including a communication interface for communicating via a wireless communication network, including the following steps: reception by the communication interface, via the wireless communication network, of position data of one or more vehicles traveling within the parking lot, the position data indicating a respective instantaneous position of the traveling vehicle or vehicles within the parking lot; location of the body within the parking lot based on the received position data. A corresponding device is also described. A method and a device for operating a vehicle traveling within a parking lot are also described. A body in the form of an object, a vehicle, and a computer program are also described.

Abstract: A method for determining a pickup position from multiple pickup positions for a vehicle incorporated by a parking facility, at which the vehicle is to be picked up after an automatic parking operation, including ascertaining a traffic situation inside and/or outside the parking facility, and determining the pickup position from the multiple pickup positions, based on the ascertained traffic situation, so that the automatic parking operation may end at the designated pickup position. A corresponding device, a corresponding parking facility, and a corresponding computer program are also described.

Abstract: A method for determining a pickup position from multiple pickup positions for a vehicle incorporated by a parking facility, at which the vehicle is to be picked up after an automatic parking operation, including ascertaining a traffic situation inside and/or outside the parking facility, and determining the pickup position from the multiple pickup positions, based on the ascertained traffic situation, so that the automatic parking operation may end at the designated pickup position. A corresponding device, a corresponding parking facility, and a corresponding computer program are also described.