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Position control of an acoustic cavitation bubble by reinforcement learning
Kálmán Klapcsik, Bálint Gyires-Tóth, Juan Manuel Rosselló, Ferenc Hegedüs
Izvirni znanstveni članek
Oznake: acoustic bubble;reinforcement learning;sonochemistry;
Reinforcement Learning (RL) is employed to develop control techniques for manipulating acoustic cavitation bubbles. This paper presents a proof of concept in which an RL agent is trained to discover a policy that allows precise control of bubble positions within a dual-frequency standing acoustic wa ...
Leto: 2025 Vir: Fakulteta za strojništvo (UL FS)
Št. zadetkov: 1
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