We propose Gnu-RL: a novel approach that enables real-world deployment of reinforcement learning (RL) for building control and requires no prior information other than historical data from existing Heating Ventilation and Air Conditioning (HVAC) controllers. In contrast with existing RL agents. which are opaque to expert interrogation and need ample training to achieve reasonable cont... https://www.alarecre.com/