Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms on a Building Energy Demand Coordination Task-Reference-Cited by-同舟云学术

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms on a Building Energy Demand Coordination Task

Published:2020-11-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities
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Author:

Dhamankar Gauraang¹,Vazquez-Canteli Jose R.²,Nagy Zoltan³

Affiliation:

1. The University of Texas at Austin, Austin, TX

2. Department of Civil, Environmental and Architectural Engineering, The University of Texas at Austin, Austin, TX

3. Department of Civil, Environmental and Architectural Engineering The University of Texas at Austin, Austin, TX

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3427773.3427870

Reference14 articles.

1. George Crabtree et al. 2008. APS Energy Report 2008. https://www.aps.org/energyefficiencyreport/report/aps-energyreport.pdf George Crabtree et al. 2008. APS Energy Report 2008. https://www.aps.org/energyefficiencyreport/report/aps-energyreport.pdf

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