RECA: A Multi-Task Deep Reinforcement Learning-Based Recommender System for Co-Optimizing Energy, Comfort and Air Quality in Commercial Buildings.
Stephen XiaPeter WeiYanchen LiuAndrew SontaXiaofan JiangPublished in: BuildSys@SenSys (2023)
Keyphrases
- multi task
- air quality
- reinforcement learning
- recommender systems
- urban areas
- transfer learning
- multi task learning
- learning problems
- air pollution
- learning tasks
- collaborative filtering
- fuzzy k means
- multi class
- multiple tasks
- feature selection
- aerial images
- machine learning
- sparse learning
- remote sensing images
- environmental monitoring
- gaussian processes
- kernel methods
- supervised learning
- data mining
- geographic information systems
- satellite images
- k means