Method and device for learning a strategy and for implementing the strategy
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.
Details
- Organisationseinheit(en)
-
Fachgebiet Maschinelles Lernen
- Externe Organisation(en)
-
Robert Bosch GmbH
- Typ
- Patent
- Publikationsdatum
- 27.01.2022
- Publikationsstatus
- Veröffentlicht
- Elektronische Version(en)
-
https://worldwide.espacenet.com/patent/search/family/079179186/publication/CN113971460A?q=CN113971460A (Zugang:
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)
https://worldwide.espacenet.com/patent/search/family/079179186/publication/US2022027743A1?q=US2022027743A1 (Zugang: Offen )
https://worldwide.espacenet.com/patent/search/family/079179186/publication/DE102020209281A1?q=DE102020209281A1 (Zugang: Offen )
https://worldwide.espacenet.com/patent/search/family/079179186/publication/JP2022022177A?q=JP2022022177A (Zugang: Offen )
https://worldwide.espacenet.com/patent/search/family/079179186/publication/JP7695836B2?q=JP7695836B2 (Zugang: Offen )
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