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Feb, 2024
基于模型的深度强化学习加速流体模拟的学习
Model-based deep reinforcement learning for accelerated learning from flow simulations
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Andre Weiner, Janis Geise
TL;DR
深度强化学习在闭环流控问题中应用模拟环境进行优化,通过模型和流模拟样本相互交替训练,有效减少流控应用中的计算时间,尤其对于复杂流模拟有着潜在的巨大节约。
Abstract
In recent years,
deep reinforcement learning
has emerged as a technique to solve
closed-loop flow control
problems. Employing
simulation-based en
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