1. A method, comprising: determining, by a management system in a computer network, respective capability information of one or more machine learning systems, wherein the capability information includes at least an action the respective machine learning system is configured to perform in the computer network, wherein the respective action adjusts or changes how the computer network operates; receiving, at the management system, for each of the one or more machine learning systems, respective performance scoring feedback associated with the respective action; computing, by the management system, a degree of freedom for each machine learning system based on the performance scoring feedback, wherein the degree of freedom is an amount of autonomy a particular machine learning system has to act over time regarding performing the respective action until intervention by the management system; and specifying, from the management system to the one or more machine learning systems, the respective degree of freedom for each machine learning system to make a decision regarding the respective action in the computer network.