Cheng Zhou

Reinforcement Learning-Based Multinode Interdiction in Unknown Networks.

A novel reinforcement learning (RL) algorithm based on the multiarmed bandit (MAB) framework is proposed, which introduces a jamming overlap coefficient to quantify node interdependencies and employs the least absolute shrinkage and selection operator (LASSO) regression to estimate individual node contributions from th...