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Modeling Actuation Constraints for IoT Applications., , , , , , , , , and 1 other author(s). CoRR, (2017)Genie: A Longitudinal Study Comparing Physical and Software-augmented Thermostats in Office Buildings., , , and . CoRR, (2016)Nurture: Notifying Users at the Right Time Using Reinforcement Learning., , , and . UbiComp/ISWC Adjunct, page 1194-1201. ACM, (2018)Ember - energy management of batteryless event detection sensors with deep reinforcement learning: demo abstract., , , , and . SenSys, page 609-610. ACM, (2020)BuildingSherlock: fault management framework for HVAC systems: demo abstract., , , , and . BuildSys@SenSys, page 202-203. ACM, (2014)Rule-based Policy Regularization for Reinforcement Learning-based Building Control., , , and . e-Energy, page 242-265. ACM, (2023)Accurate Characterization of the Variability in Power Consumption in Modern Mobile Processors., , , and . HotPower, USENIX Association, (2012)Zodiac: Organizing Large Deployment of Sensors to Create Reusable Applications for Buildings., , , and . BuildSys@SenSys, page 13-22. ACM, (2015)Portable Queries Using the Brick Schema for Building Applications: Demo Abstract., , , , , , , , , and 6 other author(s). BuildSys@SenSys, page 219-220. ACM, (2016)OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering., , , , , and . CoRR, (2024)