Author

Mahdi Imani

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Preprint Aug 2026

Trident : How to Break Deep Reinforcement Learning Cyber Defenses (Agentic)

Empirical evaluations reveal a fundamental brittleness in existing defenses: with a single trainable 7B planner, Trident reduces blue agent defensive performance by an average of 522% compared to static red agent baselines while autonomously discovering emergent behaviors such as decoy avoidance and adaptive state prioritization that static heuristics entirely fail to uncover.

Ryozo Masukawa, Ian Bryant, Armita Kazeminajafabadi et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Vector Symbolic Policy Gradient

Vector-Symbolic Policy Gradient (VSPG), a discrete-action actor that represents each action by a unit-norm hypervector and scores it by similarity to the encoded state, connects VSA action memories, log-linear policy gradients, and kernel policy search while providing a quantitative robustness guarantee.

Ryozo Masukawa, Sanggeon Yun, Sungheon Jeong et al. · 0 citations