Conference Paper/Proceeding/Abstract 345 views 83 downloads
Multi-Objective Reinforcement Learning for the Control of Storm-Water Systems Under Distributional Shift
,
Liam Butler,
Chedly Tizaoui
2025 IEEE Symposia on Computational Intelligence for Energy, Transport and Environmental Sustainability (CIETES Companion), Issue: IEEE Symposium on Computational Intelligence, Pages: 1 - 5
Swansea University Authors:
Daisy Welham, Sara Sharifzadeh , Chedly Tizaoui
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DOI (Published version): 10.1109/cietescompanion65203.2025.11003349
Abstract
Multi-Objective Reinforcement Learning for the Control of Storm-Water Systems Under Distributional Shift
| Published in: | 2025 IEEE Symposia on Computational Intelligence for Energy, Transport and Environmental Sustainability (CIETES Companion) |
|---|---|
| ISBN: | 979-8-3315-1969-8 979-8-3315-1968-1 |
| Published: |
IEEE
2025
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa69136 |
| College: |
Faculty of Science and Engineering |
|---|---|
| Funders: |
This project is part funded by an EPSRC Centre for Doctoral Training Grant and part funded by Dwr Cymru Cyfyngedig. Research is co-funded between Swansea University HCI CDT and Welsh Water. |
| Issue: |
IEEE Symposium on Computational Intelligence |
| Start Page: |
1 |
| End Page: |
5 |