A Multi-Agent Reinforcement Learning (MARL) Decision-Support tool for Energy-Efficient Incremental Residential Development

Poco Aguilar, Sergio Edgar Mauricio ORCID: https://orcid.org/0000-0001-9974-3290 (2023) A Multi-Agent Reinforcement Learning (MARL) Decision-Support tool for Energy-Efficient Incremental Residential Development. PhD thesis, University of Sheffield.

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Supervisors: Robinson, Darren and Wate, Parag
Keywords: Architectural Design Optimisation, Agent-Based Modelling, Incremental housing, Peru, Energy Modelling, Reinforcement Learning
Awarding institution: University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Architecture (Sheffield)
Date Deposited: 08 Apr 2024 13:39
Last Modified: 02 Oct 2025 00:05
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