Contextual Quality-Diversity Evolutionary Reinforcement Learning for HVAC Control in Tropical Commercial Buildings
Advancing climate control efficiency in tropical buildings through multi-modal policy evolution and safety shielding.
This paper proposes a contextual quality-diversity evolutionary reinforcement-learning controller, CQD-ERL, for the supervisory control of a tropical, water-cooled chiller plant and its associated air side. Rather than converging to a single scalarised policy, the controller main...
ArXiv CS.LG
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This research breaks the limitation of single-policy optimization by maintaining a diverse archive of control strategies, allowing building systems to adapt dynamically to shifting environmental contexts. By integrating evolutionary algorithms with reinforcement learning and safety shielding, it offers a robust pathway for energy-efficient climate control in extreme tropical climates.
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