METHOD AND DEVICE FOR LEARNING A STRATEGY AND FOR IMPLEMENTING THE STRATEGY

authored by

Steven Adriaenssen, Andre Biedenkapp, Frank Hutter, Gresa Shala, Marius Lindauer, Noor Awad

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.

Organisation(s)

Machine Learning Section

External Organisation(s)

Robert Bosch GmbH

Type

Patent

Publication date

27.01.2022

Publication status

Published