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Towards Real-world Reinforcement Learning for Building Control
The project aims to develop enabling methods for practical deployment of reinforcement learning for building control.
Human-in-the-loop Control of HVAC Systems in Commercial Buildings
The primary goal of this project is to design, implement, and evaluate a human-in-the-loop sensing and control system for energy efficiency of HVAC and lighting systems based on a novel depth-imaging occupancy sensor.
HVAC control logic verification
To be completed.
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