ADAPTIVE DISPLAY BRIGHTNESS ADJUSTMENT
A computer-implemented method for adaptive display brightness adjustment, the method comprising: obtaining current state data characterizing a current state of a device having a display with an adjustable brightness; providing the current state data as input to a brightness prediction machine learni...
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creator | Fougner, Christopher Sigurd Casagrande, Norman Degris, Thomas Agarwal, Peeyush Murdoch, Benjamin Hal Gamble, Christopher |
description | A computer-implemented method for adaptive display brightness adjustment, the method comprising: obtaining current state data characterizing a current state of a device having a display with an adjustable brightness; providing the current state data as input to a brightness prediction machine learning model, wherein the model is configured to process the current state data in accordance with current values of a set of model parameters to generate as output a proposed display brightness for the display of the device; setting the brightness of the display to a brightness that is lower than the proposed display brightness in accordance with an exploration policy; determining whether a user of the device manually adjusts the display brightness; and in response to determining that the user did not manually adjust the display brightness, using the lower brightness as a target output for adjusting the current values of the set of model parameters. |
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providing the current state data as input to a brightness prediction machine learning model, wherein the model is configured to process the current state data in accordance with current values of a set of model parameters to generate as output a proposed display brightness for the display of the device; setting the brightness of the display to a brightness that is lower than the proposed display brightness in accordance with an exploration policy; determining whether a user of the device manually adjusts the display brightness; and in response to determining that the user did not manually adjust the display brightness, using the lower brightness as a target output for adjusting the current values of the set of model parameters.</description><language>eng</language><subject>ADVERTISING ; ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICESUSING STATIC MEANS TO PRESENT VARIABLE INFORMATION ; CRYPTOGRAPHY ; DISPLAY ; EDUCATION ; ELECTRIC HEATING ; ELECTRIC LIGHTING NOT OTHERWISE PROVIDED FOR ; 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providing the current state data as input to a brightness prediction machine learning model, wherein the model is configured to process the current state data in accordance with current values of a set of model parameters to generate as output a proposed display brightness for the display of the device; setting the brightness of the display to a brightness that is lower than the proposed display brightness in accordance with an exploration policy; determining whether a user of the device manually adjusts the display brightness; and in response to determining that the user did not manually adjust the display brightness, using the lower brightness as a target output for adjusting the current values of the set of model parameters.</description><subject>ADVERTISING</subject><subject>ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICESUSING STATIC MEANS TO PRESENT VARIABLE INFORMATION</subject><subject>CRYPTOGRAPHY</subject><subject>DISPLAY</subject><subject>EDUCATION</subject><subject>ELECTRIC HEATING</subject><subject>ELECTRIC LIGHTING NOT OTHERWISE PROVIDED FOR</subject><subject>ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR</subject><subject>ELECTRICITY</subject><subject>PHYSICS</subject><subject>SEALS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZFBzdHEMCPEMc1Vw8QwO8HGMVHAK8nT3CPFzDQ5WcHTxCg0O8XX1C-FhYE1LzClO5YXS3AzKbq4hzh66qQX58anFBYnJqXmpJfGhwUYGRgbGhiaWFqaOhsbEqQIAapckwQ</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Fougner, Christopher Sigurd</creator><creator>Casagrande, Norman</creator><creator>Degris, Thomas</creator><creator>Agarwal, Peeyush</creator><creator>Murdoch, Benjamin Hal</creator><creator>Gamble, Christopher</creator><scope>EVB</scope></search><sort><creationdate>20201001</creationdate><title>ADAPTIVE DISPLAY BRIGHTNESS ADJUSTMENT</title><author>Fougner, Christopher Sigurd ; 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providing the current state data as input to a brightness prediction machine learning model, wherein the model is configured to process the current state data in accordance with current values of a set of model parameters to generate as output a proposed display brightness for the display of the device; setting the brightness of the display to a brightness that is lower than the proposed display brightness in accordance with an exploration policy; determining whether a user of the device manually adjusts the display brightness; and in response to determining that the user did not manually adjust the display brightness, using the lower brightness as a target output for adjusting the current values of the set of model parameters.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ADVERTISING ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICESUSING STATIC MEANS TO PRESENT VARIABLE INFORMATION CRYPTOGRAPHY DISPLAY EDUCATION ELECTRIC HEATING ELECTRIC LIGHTING NOT OTHERWISE PROVIDED FOR ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR ELECTRICITY PHYSICS SEALS |
title | ADAPTIVE DISPLAY BRIGHTNESS ADJUSTMENT |
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