Belohnungssimulation für Verstärkungslernen für ein Drahtloses Netzwerk
Anmelder: Nokia Solutions and Networks Oy 🇫🇮
Details
- Veröffentlichungs-Nr.
- EP4626062
- Aktenzeichen
- EP25165958
- Anmeldetag
- 25. März 2025
- Veröffentlichung
- 1. Oktober 2025
- Rechtsraum
- EP
- IPC
- H04W24/02H04W36/00// H04W36/30
Abstract
A method includes receiving, by a user device from a network node, a reliability criteria; providing, by the user device, one or more measurements or context information as inputs to a machine learning model; receiving, by the user device from the machine learning model, a predicted action based on the inputs; determining, by the user device, whether the reliability criteria is met for the predicted action; performing, by the user device, the predicted action if the predicted action meets the reliability criteria; and if the predicted action does not meet the reliability criteria: obtaining a simulated reward for the predicted action; and training or updating the machine learning model based on the simulated reward for the predicted action.
Anmelder
- Firma
- Nokia Solutions and Networks Oy
- Land
- 🇫🇮 Finnland
Finnisches Unternehmen der Nokia-Gruppe, das Mobilfunknetzwerktechnik, Telekommunikationsinfrastruktur sowie zugehörige Dienstleistungen für Netzbetreiber weltweit entwickelt.
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