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Urmzd Mukhammadnaim

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Reinforced Linear Genetic Programming

This thesis proposes a novel approach that uses Q-Learning on top of LGP, Reinforced Linear Genetic Programming (RLGP) to learn the optimal register-action assignments, and introduces a new framework "linear-gp" written in memory-safe Rust that allows for extensive experimentation for future works.

Urmzd Mukhammadnaim · 0 citations

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