Many of the recent advances in artificial intelligence rely on temporal difference (TD) reinforcement learning (RL) in which the TD learning rule is used to learn predictive information 1 (equation (2 ...

Influence maximization (IM) seeks to identify a subset of key nodes that maximize the spread of information or behavior through a network. While traditional IM approaches rely on static topologies or ...