Optimal Control of Combined Sewer Systems to Minimize Sewer Overflows by Using Reinforcement Learning-Reference-Cited by-同舟云学术

Optimal Control of Combined Sewer Systems to Minimize Sewer Overflows by Using Reinforcement Learning

Published:2023-05-18 Issue: Volume: Page:
ISSN:
Container-title:World Environmental and Water Resources Congress 2023
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Author:

Yin Zeda¹²³⁴,Leon Arturo S.¹²³⁴,Sharifi Abbas¹²³⁴,Amini M. Hadi¹²³⁴

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Florida International Univ., Miami, FL.

2. Associate Professor, Dept. of Civil and Environmental Engineering, Florida International Univ., Miami, FL.

3. Ph.D. Student, Dept. of Civil and Environmental Engineering, Florida International Univ., Miami, FL.

4. Assistant Professor, Knight Foundation School of Computing and Information Sciences, Florida International Univ., Miami, FL.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784484852.067

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5. A novel nested stochastic dynamic programming (nSDP) and nested reinforcement learning (nRL) algorithm for multipurpose reservoir optimization

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