Event-triggered reinforcement learning; an application to buildings’ micro-climate control
Smart buildings have great potential for shaping an energy-efficient, sustainable, and more economic future for our planet as buildings account for approximately 40% of the global energy consumption. However, most learning methods for micro-climate control in buildings are based on Markov Decision P...
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| Format: | Article |
| Language: | English |
| Published: |
RWTH Aachen University
2021
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| Online Access: | https://hdl.handle.net/1721.1/129974 |