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Accuracy Enhancement of Indoor Visible Light Positioning using Point-Wise Reinforcement Learning

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Abstract

A point-wise reinforcement learning (PWRL) algorithm is proposed for a multi-detector based visible light positioning system. Experimental results demonstrate that the average positioning error is reduced up to 70% by employing the proposed PWRL.

© 2019 The Author(s)

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