  The area of building energy management has received a significant amount of
interest in recent years. This area is concerned with combining advancements in
sensor technologies, communications and advanced control algorithms to optimize
energy utilization. Reinforcement learning is one of the most prominent machine
learning algorithms used for control problems and has had many successful
applications in the area of building energy management. This research gives a
comprehensive review of the literature relating to the application of
reinforcement learning to developing autonomous building energy management
systems. The main direction for future research and challenges in reinforcement
learning are also outlined.
