Glass-Box deep reinforcement learning for high-speed flow control
Read the original at arxiv.org→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...
Original headline: "Glass-Box Deep Reinforcement Learning for High-Speed Flow Control"
Coverage timeline
- Oct 21, 04:00 UTC arXiv cs.LG lead source Glass-Box Deep Reinforcement Learning for High-Speed Flow Control