Before revision:  To overcome this bottleneck, we present the REinforcement learning based Adaptive samPling (REAP) algorithm that aims to sample a landscape faster than conventional simulation methods by identifying reaction coordinates that are relevant for sampling the system .
After revision:  To overcome this bottleneck, we present the REinforcement learning based Adaptive samPling (REAP) algorithm that aims to efficiently sample conformational space by learning the relative importance of each reaction coordinate as it samples the landscape .