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About Slides Active Flow Control Deep Reinforcement Learning
This document summarizes a presentation on using deep reinforcement learning for active flow control. It discusses using artificial neural networks and deep reinforcement learning as tools to perform active flow control of fluid flows, which is a challenging problem due to its nonlinearity, high dimensionality, and time dependence. The presentation provides an introduction to artificial neural networks and supervised learning, then discusses taking machine learning further with deep reinforcement learning techniques like deep Q-learning and policy gradient methods. It applies these concepts to a simple case of active flow control and discusses attacking more complex and multimodal nonlinear problems.
Detailed Information
| Author: | ['vane-16'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 46 |
| Language: | English |
| Format: | |
| Price: | FREE |
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