Zero-Shot DRL Transfers from Channel Flow to Wing

Ricardo Vinuesa announced a video explaining zero-shot deep reinforcement learning for fluid control. Controllers are trained in simple geometries such as channel flow and then applied directly to a wing using the same policies and no further training. Vinuesa states the transfer maintains performance. The video is hosted on his YouTube channel and tagged AI4Science. The post also links to his Google Scholar profile and lab channel.