Safe HVAC Control via Batch Reinforcement Learning
Author:
Affiliation:
1. University of California, San Diego,La Jolla,CA,USA
2. Amazon
Funder
DARPA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9797459/9797464/09797532.pdf?arnumber=9797532
Reference70 articles.
1. Practical implementation and evaluation of deep reinforcement learning control for a radiant heating system
2. Handling model uncertainty in model predictive control for energy efficient buildings
3. Model-Based Hierarchical Optimal Control Design for HVAC Systems
4. Stabilizing off-policy q-learning via bootstrapping error reduction;kumar;ArXiv Preprint,2019
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1. Economizer Optimization with Reinforcement Learning: An Industry Perspective;Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation;2023-11-15
2. CLUE: Safe Model-Based RL HVAC Control Using Epistemic Uncertainty Estimation;Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation;2023-11-15
3. Dynamic indoor thermal environment using Reinforcement Learning-based controls: Opportunities and challenges;Building and Environment;2023-10
4. Robot morphology evolution for automated HVAC system inspections using graph heuristic search and reinforcement learning;Automation in Construction;2023-09
5. Fast Human-in-the-Loop Control for HVAC Systems via Meta-Learning and Model-Based Offline Reinforcement Learning;IEEE Transactions on Sustainable Computing;2023-07-01
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