and now are increasingly attracting interest in wireless communications as the application of
machine learning methods to wireless systems grows along with security concerns. In this
paper, we propose two adversarial policies, one based on feed-forward neural networks
(FNNs) and the other based on deep reinforcement learning (DRL) policies. Both attack
strategies aim at minimizing the accuracy of a DRL-based dynamic channel access agent …