CLUE: Safe Model-Based RL HVAC Control Using Epistemic Uncertainty Estimation-Reference-Cited by-同舟云学术

CLUE: Safe Model-Based RL HVAC Control Using Epistemic Uncertainty Estimation

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
language:
Short-container-title:

Author:

An Zhiyu¹^ORCID,Ding Xianzhong¹^ORCID,Rathee Arya²^ORCID,Du Wan¹^ORCID

Affiliation:

1. University of California, Merced, United States of America

2. University of California, Santa Cruz, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3600100.3623742

Reference35 articles.

1. Joshua Achiam David Held Aviv Tamar and Pieter Abbeel. 2017. Constrained policy optimization. In ICML. PMLR 22–31. Joshua Achiam David Held Aviv Tamar and Pieter Abbeel. 2017. Constrained policy optimization. In ICML. PMLR 22–31.

2. Clarence Agbi , Zhen Song , and Bruce Krogh . 2012. Parameter identifiability for multi-zone building models. In 2012 IEEE 51st IEEE CDC . IEEE , 6951–6956. Clarence Agbi, Zhen Song, and Bruce Krogh. 2012. Parameter identifiability for multi-zone building models. In 2012 IEEE 51st IEEE CDC. IEEE, 6951–6956.

3. Uncertainty Estimation for Safe Human-Robot Collaboration Using Conservation Measures

4. Gnu-RL

5. Kurtland Chua 2018. Deep reinforcement learning in a handful of trials using probabilistic dynamics models. NeurIPS ( 2018 ). Kurtland Chua 2018. Deep reinforcement learning in a handful of trials using probabilistic dynamics models. NeurIPS (2018).

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing Irrigation Efficiency using Deep Reinforcement Learning in the Field;ACM Transactions on Sensor Networks;2024-07-08

2. OrchLoc: In-Orchard Localization via a Single LoRa Gateway and Generative Diffusion Model-based Fingerprinting;Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services;2024-06-03

3. Exploring Deep Reinforcement Learning for Holistic Smart Building Control;ACM Transactions on Sensor Networks;2024-05-06

4. Enhancing HVAC control systems through transfer learning with deep reinforcement learning agents;Smart Energy;2024-02

5. Multi-Zone HVAC Control With Model-Based Deep Reinforcement Learning;IEEE Transactions on Automation Science and Engineering;2024