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Jay B. Nash I am an undergraduate at Connecticut College, double majoring in Computer Science and Physics. While I’m not reading science fiction novels or playing Dungeons and Dragons, I spend my time working on machine learning models and non-deterministic simulations in the Autonomous Agent Learning Lab. You can view my published work here. In my professional life, I work as a network administrator and help desk technician for the Connecticut College IT Department, where I am currently working on standing up a student-led security operations center. [Email] [CV] [Google Scholar] [GitHub] [LinkedIn] |
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ResearchMy research is primarily focused on game-playing AI, concensus mechanisms, robotic gaits, and optimization algorithms. Most recently I've been investigating possible alternative policy frameworks specifically suited to dertivative-free optimization. I'm currently working on my honors thesis on playing nethack with a learned policy. |
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Integer Population Compression for Resource-Constrained Evolution In Review |
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Playing Atari Space Invaders with Sparse Cosine Optimized Policy Evolution In Review |
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SCOPE for Hexapod Gait Generation Pending Publication in Proceedings of the 17th International Joint Conference on Computational Intelligence - ECTA, 2025 |
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The Evolution of Complex Attributes in a Species of Simulated Agents IEEE Symposium on Computational Intelligence in Artificial Life and Cooperative Intelligent Systems Companion, 2025 |
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Using Secondary Inherited Characteristics During Reproductive Choice to Replicate Allopatric Speciation Proceedings of the 16th International Joint Conference on Computational Intelligence - ECTA, 2024 |