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 ...
The present research introduces the Adaptive Trust Region Policy Optimization for Action Space Compression (ATRPO-ACS) framework, a novel deep reinforcement learning approach optimized through trust ...
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