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Abstract: In recent years, reinforcement learning control theory has been well developed. However, model-free value iteration needs many iterations to achieve the desired precision, and model-free ...

Abstract: With the expansion of software development, vulnerability detection and code reuse based on code similarity are becoming increasingly important. In the traditional twin network, there is a ...

AIWG is a cognitive architecture that provides AI coding assistants with structured memory, ensemble validation, and closed-loop self-correction. Unlike simple prompt libraries or ad-hoc workflows, ...