determining a weight of a product of a weighing device that includes an article;

determining one or more conditions of an environment of the weighing device;

determining a state of the environment of the weighing device, wherein the state relates to an average give-away rate of the environment of the weighing device;

determining a change in the environment of the weighing device by identifying and comparing variations in, at least in part, the one or more conditions of the environment of the weighing device and the average give-away rate over a defined time period;

based on the determined change, determining a reward value for the state of the environment of the weighing device, wherein the reward value is based at least in part on the weight of the product, the reward value being associated with a reduction of the average give-away rate without changing a mechanical design of an existing weighing hardware equipment of the weighing device;

iteratively generating a set of parameters for the weighing device based on the one or more conditions of the environment of the weighing device, the reward value, and the state of the environment of the weighing device;

the iteratively generating of the set of parameters being for each state associated with the environment of the weighing device, which includes considering a physical environment and attribute characteristics of a packaged product and setting an average give-away rate change as a reward and punishment function to provide timely feedback and timely adjustment of the set of parameters; and

determining the reward for the state by dividing the reward value by a number of adjusted parameters based on positive and negative values, which are utilized to determine the average give-away rate.