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cs.LG2026
Endogenous Regime Switching Driven by Scalar-Irreducible Learning Dynamics
Sheng Ran
Achieving endogenous regime switching is crucial for the emergence of autonomous intelligence, yet remains a central challenge for existing machine learning frameworks, where such…
cs.LG2026
Learning Beyond Optimization: Stress-Gated Dynamical Regime Regulation in Autonomous Systems
Sheng Ran
Despite their apparent diversity, modern machine learning methods can be reduced to a remarkably simple core principle: learning is achieved by continuously optimizing parameters t…