Differentiable Genetic Programming

15 Nov 2016 Dario Izzo Francesco Biscani Alessio Mereta

We introduce the use of high order automatic differentiation, implemented via the algebra of truncated Taylor polynomials, in genetic programming. Using the Cartesian Genetic Programming encoding we obtain a high-order Taylor representation of the program output that is then used to back-propagate errors during learning... (read more)

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