Glass-Box Deep Reinforcement Learning for High-Speed Flow Control
arXiv:2610.27132v1 Announce Type: new Abstract: Deep reinforcement learning (DRL) is challenging long-held assumptions in active flow control. By learning directly from interaction with a flow, DRL agents can find actuation strategies for nonlinear, unsteady flows without explicit models, often exp…
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- 2026-10-21 04:00 · arXiv cs.LG
Glass-Box Deep Reinforcement Learning for High-Speed Flow Control