Patents by Inventor Marius Lindauer

Marius Lindauer has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11628562
    Abstract: A method for producing a strategy for a robot. The method includes the following steps: initializing the strategy and an episode length; repeated execution of the loop including the following steps: producing a plurality of further strategies as a function of the strategy; applying the plurality of the further strategies for the length of the episode length; ascertaining respectively a cumulative reward, which is obtained in the application of the respective further strategy; updating the strategy as a function of a second plurality of the further strategies that obtained the greatest cumulative rewards. After each execution of the loop, the episode length is increased. A computer program, a device for carrying out the method, and a machine-readable memory element on which the computer program is stored, are also described.
    Type: Grant
    Filed: July 6, 2020
    Date of Patent: April 18, 2023
    Assignee: ROBERT BOSCH GMBH
    Inventors: Frank Hutter, Lior Fuks, Marius Lindauer, Noor Awad
  • Publication number: 20220027743
    Abstract: A method for learning a strategy, which optimally adapts at least one parameter of an evolutionary algorithm. The method includes the following steps: initializing the strategy, which ascertains a parameterization of the parameter as a function of pieces of state information; learning the strategy with the aid of reinforcement learning, it being learned from interactions of the CMA-ES algorithm with a parameterization, determined with the aid of the strategy as a function of the pieces of state information, with the problem instance and with a reward signal, which parameterization is optimal for possible pieces of state information.
    Type: Application
    Filed: July 9, 2021
    Publication date: January 27, 2022
    Inventors: Steven Adriaenssen, Andre Biedenkapp, Frank Hutter, Gresa Shala, Marius Lindauer, Noor Awad
  • Publication number: 20220012636
    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.
    Type: Application
    Filed: July 2, 2021
    Publication date: January 13, 2022
    Inventors: Marius Lindauer, Arber Zela, Danny Oliver Stoll, Fabio Ferreira, Frank Hutter, Thomas Nierhoff
  • Publication number: 20210383245
    Abstract: A computer-implemented method for planning an operation of a technical system within its environment. The method includes: obtaining state information comprising: a current domain, a time step and a current state; determining by heuristics costs for reachable states from the current state; selecting a heuristics by a policy out of a set of predefined heuristics depending on the state information and costs; choosing the state with the lowest cost returned by the selected heuristic from the reachable states, and determining an operation of the technical system out of the set of possible operation that has to be carried out by the technical system to reach said state with the lowest costreturned by the selected heuristic.
    Type: Application
    Filed: April 28, 2021
    Publication date: December 9, 2021
    Inventors: Jonathan Spitz, Andre Biedenkapp, David Speck, Frank Hutter, Marius Lindauer, Robert Mattmueller
  • Publication number: 20210008718
    Abstract: A method for producing a strategy for a robot. The method includes the following steps: initializing the strategy and an episode length; repeated execution of the loop including the following steps: producing a plurality of further strategies as a function of the strategy; applying the plurality of the further strategies for the length of the episode length; ascertaining respectively a cumulative reward, which is obtained in the application of the respective further strategy; updating the strategy as a function of a second plurality of the further strategies that obtained the greatest cumulative rewards. After each execution of the loop, the episode length is increased. A computer program, a device for carrying out the method, and a machine-readable memory element on which the computer program is stored, are also described.
    Type: Application
    Filed: July 6, 2020
    Publication date: January 14, 2021
    Inventors: Frank Hutter, Lior Fuks, Marius Lindauer, Noor Awad