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Biologically-inspired Dual-Q reinforcement learning with asymmetric memory decay. MSc AI dissertation, University of Sussex 2025. Forgetting rewards faster than punishments improves adaptation in dynamic environments.
Aegis-Grid is an open-source, agentic cryptographic framework for high-assurance power system communication. It utilizes adaptive (n, k) thresholding, Shannon entropy mirroring, and Cumulative Attack Pressure (CAP) monitoring to provide a "Fail-Secure" communication backbone for critical grid infrastructure.