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Exploring Open-Ended Algorithms: POET

Machine Learning Street Talk (MLST)

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The Dynamics of Open-Ended Algorithmic Evolution

This chapter explores a groundbreaking algorithm that enables the continuous generation of new problems and solutions, paralleling evolutionary processes in nature. The discussion emphasizes how this approach fosters adaptability and improved competence in tackling complex challenges beyond conventional reinforcement learning methods.

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