Samsung Patent: Multi-batch Reinforcement Learning via Multi-Imitation Learning

ChangeBridge: EPO Bulletin - AI & Computing (G06N)

Published March 18th, 2026

Detected March 24th, 2026

Summary

The European Patent Office published Samsung's patent application EP4711983A2 concerning a method for multi-batch reinforcement learning via multi-imitation learning. The patent describes a system for predicting traffic load and determining cell reselection priorities for mobile network base stations.

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What changed

This document is a patent publication from the European Patent Office (EPO) for Samsung Electronics Co., Ltd., titled "Method and System for Multi-batch Reinforcement Learning via Multi-imitation Learning" (Publication EP4711983A2). The patent details a method for a server to receive user equipment (UE) state information from base stations, predict traffic load, determine cell reselection priorities based on this load, and transmit these priorities to a target base station. This allows for the reselection of a cell for an idle mode UE based on the calculated priorities.

As this is a patent publication, it does not impose direct compliance obligations or deadlines on regulated entities. However, it signifies technological advancements in AI and network management that may influence future industry standards or product development. Compliance officers in the technology and telecommunications sectors should be aware of such patented innovations as they may relate to intellectual property strategies or competitive landscapes.

Source document (simplified)

← EPO Patent Bulletin

METHOD AND SYSTEM FOR MULTI-BATCH REINFORCEMENT LEARNING VIA MULTI-IMITATION LEARNING

Publication EP4711983A2 Kind: A2 Mar 18, 2026

Applicants

Samsung Electronics Co., Ltd.

Inventors

Wu, Di, Li, Tianyu, Meger, David, Jenkin, Michael, Liu, Xue, Dudek, Gregory Lewis

Abstract

A method in a server comprises receiving, from a plurality of base stations, user equipment, UE, state information, wherein the UE state information includes whether a plurality of UEs in cells served by the plurality of base stations are in an idle mode or an active mode; predicting a traffic load of a target base station among the plurality of base stations, based on the UE state information; determining cell reselection priorities for a plurality of cells served by the target base station, based on the predicted traffic load; transmitting, to the target base station, the cell reselection priorities; and reselecting a cell for an idle mode UE camped in one of the plurality of cells, based on the cell reselection priorities.

IPC Classifications

G06N 3/08 20230101AFI20240918BHEP

Designated States

AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, ME, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR

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