A population-based PSRO variant trained in a new FlipIt-derived environment generalizes better to unseen attacker variants than iterated best response and heuristic baselines in single-resource simulations.
Unsupervised anomaly detection in network intrusion detection using clusters
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PoolFlip: A Multi-Agent Reinforcement Learning Security Environment for Cyber Defense
A population-based PSRO variant trained in a new FlipIt-derived environment generalizes better to unseen attacker variants than iterated best response and heuristic baselines in single-resource simulations.