US Patent 11042519 Reinforcement learning for optimizing data deduplication

Systems and methods provide for optimizing data deduplication. A physical storage node can determine a cost of performing each exclusive action of a set of exclusive actions associated with data deduplication for a predetermined number of epochs to populate an exclusive action cost matrix. The node can select an optimal exclusive action from among the set of exclusive actions based on the cost of performing each exclusive action. In response to a random number being below a threshold value, the node can determine a first cost of performing a randomly selected exclusive action from the set of exclusive actions and update the exclusive action cost matrix with the first cost. In response to the random number exceeding the threshold value, the node can determine a second cost of performing the optimal exclusive action and update the exclusive action cost matrix with the second cost.