Embodiments of the present disclosure relate to devices, methods, apparatuses and computer-readable storage media for ML abstract behavior management. A first device determines a first mapping from a network context to a set of abstract actions, the set of abstract actions representing actual actions of a
machine learning entity; sends, to a second device, first information indicative of the first mapping; and receives, from the second device, second information associated with at least a second abstract action, the second abstract action corresponding to an actual action of the
machine learning entity given the actual network context. The first device further monitors, based on the second information, a difference between a first abstract action determined based on the first mapping and the second abstract action.