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Ryan Bahlous-Boldi is a PhD student at MIT working on open-ended and continual learning.
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Ryan Bahlous-Boldi as author
Digital Red Queen: Adversarial Program Evolution in Core War with LLMs
arXivresearchpositiveJan 12, 2026
A self-play algorithm called Digital Red Queen uses LLMs to evolve adversarial programs in Core War, demonstrating that dynamic Red Queen objectives produce increasingly general and convergent behavioral strategies compared to static optimization.
“Author of "Digital Red Queen: Adversarial Program Evolution in Core War with LLMs" on arXiv”
AI ResearchReinforcement LearningAI SafetyGenerative AI