On suitability of the reinforcement learning methodology in dynamic, heterogeneous, self-optimizing networks

Rovcanin, MilosMilosRovcaninDe Poorter, EliEliDe PoorterMoerman, IngridIngridMoermanDemeester, PietPietDemeester2021-10-212021-10-212013https://imec-publications.be/handle/20.500.12860/23019On suitability of the reinforcement learning methodology in dynamic, heterogeneous, self-optimizing networksProceedings paperhttp://rd.springer.com/chapter/10.1007%2F978-3-642-40316-3_15#