Method for determining a change in brake pressure for a wheel of a vehicle to optimize a braking operation, comprising the steps of: providing a current wheel status of the wheel, the wheel status having a plurality of status parameters; determining at least one status parameter whose value deviates from a target wheel status; determining a direction of change of the change in brake pressure according to a deviation of the at least one status parameter from the target wheel status; providing a brake pressure characteristic map (250a, 250b, 251a, 251b) to determine a value of the change in brake pressure, the brake pressure characteristic map (250a, 250b, 251a, 251b) associating a change in brake pressure with the plurality of status parameters and being specific to the determined direction of change of the change in brake pressure; determining a value of the change in brake pressure using the current wheel status and the provided brake pressure characteristic map (250a, 250b, 251a, 251b); characterized in that the brake pressure characteristic map (250a, 250b, 251a, 251b) is determined using the following steps: providing a current wheel status, the wheel status having a plurality of status parameters; providing reward rules for a reinforcement learning process; determining a reward by means of the reward rules and the current wheel status; and if a reward has been determined for the reinforcement learning process: determining a recent change in brake pressure in terms of value and direction of change and the associated brake pressure characteristic map (250a, 250b, 251a, 251b); determining a correction value for the associated brake pressure characteristic map (250a, 250b, 251a, 251b) in accordance with the reinforcement learning process. providing a current wheel status of the wheel, the wheel status having a plurality of status parameters; determining at least one status parameter whose value deviates from a target wheel status; determining a direction of change of the change in brake pressure according to a deviation of the at least one status parameter from the target wheel status; providing a brake pressure characteristic map (250a, 250b, 251a, 251b) to determine a value of the change in brake pressure, the brake pressure characteristic map (250a, 250b, 251a, 251b) associating a change in brake pressure with the plurality of status parameters and being specific to the determined direction of change of the change in brake pressure; determining a value of the change in brake pressure using the current wheel status and the provided brake pressure characteristic map (250a, 250b, 251a, 251b); characterized in that the brake pressure characteristic map (250a, 250b, 251a, 251b) is determined using the following steps: providing a current wheel status, the wheel status having a plurality of status parameters; providing reward rules for a reinforcement learning process; determining a reward by means of the reward rules and the current wheel status; and if a reward has been determined for the reinforcement learning process: determining a recent change in brake pressure in terms of value and direction of change and the associated brake pressure characteristic map (250a, 250b, 251a, 251b); determining a correction value for the associated brake pressure characteristic map (250a, 250b, 251a, 251b) in accordance with the reinforcement learning process. providing a current wheel status, the wheel status having a plurality of status parameters; providing reward rules for a reinforcement learning process; determining a reward by means of the reward rules and the current wheel status; and if a reward has been determined for the reinforcement learning process: determining a recent change in brake pressure in terms of value and direction of change and the associated brake pressure characteristic map (250a, 250b, 251a, 251b); determining a correction value for the associated brake pressure characteristic map (250a, 250b, 251a, 251b) in accordance with the reinforcement learning process.