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Symbolic Equation Solving via Reinforcement Learning

By Lennart Dabelow and Masahito Ueda
Machine-learning methods are gradually being adopted in a great variety of social, economic, and scientific contexts, yet they are notorious for struggling with exact mathematics. A typical example is computer algebra, which includes tasks like simplifying mathematical terms, calculating formal derivatives, or finding exact solutions of algebraic equations. Traditional software... Show more
January 24, 2024
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Symbolic Equation Solving via Reinforcement Learning
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