Abstract: Reinforcement Learning (RL) is a powerful machine learning paradigm in which agents learn to maximize cumulative rewards by interacting with an environment to derive optimal policies. A key ...

Abstract: Finding influential nodes is a crucial task for understanding and optimizing information spreading in complex networks such as social, biological, transportation, and technological networks, ...