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.
QFlip: An adaptive reinforcement learning strategy for the FlipIt security game
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
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.