---
title: Active Flow Control for Confined Square Cylinder Wake
url: https://www.ml-quant.com/papers/ssrn/5059657/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 5059657
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5059657
featured: 2024-12-18
citations: unknown
topic: ML & AI Methods
---


# Active Flow Control for Confined Square Cylinder Wake

The article introduces a deep learning surrogate model-based reinforcement learning approach for active control of two-dimensional wake flow, which reduces computational costs while maintaining reliability.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5059657
- Identifier: SSRN 5059657
- Released: 2024-12-16
- First featured: Quant Letter No. 79 (2024-12-18): https://www.ml-quant.com/issues/2024-12-18/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods

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