Zeitschriftenartikel
Reinforcement learning as a basis for cross domain fusion of heterogeneous data
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Text/Journal Article
Datum
2022
Autor:innen
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Quelle
Informatik Spektrum: Vol. 45, No. 5
Verlag
Springer
Zusammenfassung
We propose to establish a research direction based on Reinforcement Learning in the scope of Cross Domain Fusion. More precisely, we combine the algorithmic approach of evolutionary rule-based Reinforcement Learning with the efficiency and performance of Deep Reinforcement Learning, while simultaneously developing a sound mathematical foundation. A possible scenario is traffic control in urban regions.