A dueling DQN trained as a label-reward classifier on CIC-IDS2018 reports 99.68% average accuracy, but without a held-out test set the accuracy is an in-sample score.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2026 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Dueling Deep Q-Learning for Intrusion Detection
A dueling DQN trained as a label-reward classifier on CIC-IDS2018 reports 99.68% average accuracy, but without a held-out test set the accuracy is an in-sample score.