Abstract: Systems, devices, and methods for training an automated agent are disclosed. Multiple automated agents are instantiated, each of the automated agents configured to train over a plurality of training cycles. For each resource, a dedicated portion of a memory device to store state data for the respective resource is allocated. The method includes receiving a request for state data for a particular resource from a subset of the automated agents; for each of the training cycles for the subset of the plurality of automated agents, storing updated state data for the particular resource in the dedicated portion of the memory device allocated to the particular resource; and transmitting an address of the dedicated portion of the memory device for the particular resource to the subset of the automated agents, to facilitate asynchronous reading of the stored state data for the particular resource during each training cycle.