Abstract: A method (400) for dynamic RL. The method includes using an RL algorithm to select a first action and triggering performance of the selected first action. The method also includes after the first action is performed, obtaining a first reward value (R1) associated with the first action. The method also includes using R1 and/or a performance indicator (P1) to determine whether an algorithm modification condition is satisfied. The method further includes, as a result of determining that the algorithm modification condition is satisfied, modifying the RL algorithm to produce a modified RL algorithm. In this way, the RL algorithm adapts to changes in the environment.