Optimal operation of hydropower reservoir systems is a classical optimization problem high dimensionality and stochastic nature. A key challenge lies in improving the interpretability strategies, i.e., cause–effect relationship between system outputs (or actions) contributing variables such as states inputs. This paper reports for first time new deep reinforcement learning (DRL) framework optim...