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Expand Up @@ -4,7 +4,7 @@ EvoGrad is a lightweight tool for differentiating through expectation,
built on top of PyTorch.

Tools that enable fast and flexible experimentation democratize and accelerate machine learning research.
However, one field that so far has not been greatly impacted by automatic differentiation tools is evolutionary computation
However, one field that so far has not been greatly impacted by automatic differentiation tools is evolutionary computation.
The reason is that most evolutionary algorithms are gradient-free:
they do not follow any explicit mathematical gradient (i.e., the mathematically optimal local direction of improvement), and instead proceed through a generate-and-test heuristic.
In other words, they create new variants, test them out, and keep the best.
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