首页|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)

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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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.”

EssenGermanyEuropeCyborgsEmergin g TechnologiesMachine LearningReinforcement LearningUniversity of Duisburg -Essen

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.24)