A high required number of interactions with the environment is one of the most important problems in reinforcement learning (RL). To deal with this problem. several data-efficient RL algorithms have been proposed and successfully applied in practice. Unlike previous research. https://www.roneverhart.com/Liftmaster-K1D8387-1CC-Expansion-Circuit-Board/