Document Type
Article
Abstract
This is the second edition of the ACM SIGEnergy Workshop for Reinforcement Learning for Energy Management in Buildings and Cities (RLEM). RLEM brings together researchers and industry practitioners for the advancement of (deep) reinforcement learning (RL) in the built environment as it is applied for managing energy in civil infrastructure systems (energy, water, transportation).
Publication Date
11-17-2021
Language
English
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Nagy, Zoltan; Park, June Young; Drgona, Jan; and Quintana, Matias, "The Second ACM SIGEnergy Workshop on Reinforcement Learning for Energy Management in Buildings & Cities (RLEM)" (2021). Association of Computing Machinery Open Access Agreement Publications. 37.
https://mavmatrix.uta.edu/utalibraries_acmoapubs/37