RL-L: A Deep Reinforcement Learning Approach Intended for AR Label Placement in Dynamic Scenarios - researchr publication

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Zhutian Chen, Daniele Chiappalupi, Tica Lin, Yalong Yang 0001, Johanna Beyer, Hanspeter Pfister. RL-L: A Deep Reinforcement Learning Approach Intended for AR Label Placement in Dynamic Scenarios. IEEE Trans. Vis. Comput. Graph., 30(1):1347-1357, January 2024. [doi]

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