Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings. (arXiv:2112.06127v2 [cs.LG] UPDATED)

Building upon prior research that highlighted the need for standardizing
environments for building control research, and inspired by recently introduced
challenges for real life reinforcement learning control, here we propose a
non-exhaustive set of nine real world challenges for reinforcement learning
control in grid-interactive buildings. We argue that research in this area
should be expressed in this framework in addition to providing a standardized
environment for repeatability. Advanced controllers such as model predictive
control and reinforcement learning (RL) control have …

arxiv buildings interactive learning reinforcement reinforcement learning