Robotics & Machine Learning Daily News2024,Issue(Apr.24) :15-16.

Reports on Machine Learning Findings from University of Duisburg-Essen Provide N ew Insights (Realizing Self-adaptive Systems Via Online Reinforcement Learning a nd Feature-model-guided Exploration)

Robotics & Machine Learning Daily News2024,Issue(Apr.24) :15-16.

Reports on Machine Learning Findings from University of Duisburg-Essen Provide N ew Insights (Realizing Self-adaptive Systems Via Online Reinforcement Learning a nd Feature-model-guided Exploration)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Essen, Germany, by New sRx editors, research stated, “A self-adaptive system can automaticallymaintain its quality requirements in the presence of dynamic environment changes. Developing a self-adaptive system may be difficult due to design time uncertainty; e.g ., anticipating all potentialenvironment changes at design time is in most case s infeasible.”

Key words

Essen/Germany/Europe/Cyborgs/Emergin g Technologies/Machine Learning/Reinforcement Learning/University of Duisburg -Essen

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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