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Reinforcement learning as a basis for cross domain fusion of heterogeneous data

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2022

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Springer

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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.

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Christensen, Sören; Tomforde, Sven (2022): Reinforcement learning as a basis for cross domain fusion of heterogeneous data. Informatik Spektrum: Vol. 45, No. 5. DOI: 10.1007/s00287-022-01487-8. Springer. PISSN: 1432-122X. pp. 295-299

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