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intro.md
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intro.md
@@ -10,7 +10,7 @@ As much as possible, the algorithms will come with hands-on code examples to qui
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Beyond standard _supervised_ learning from data, we'll look at _physical loss_ constraints,
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more tightly coupled learning algorithms with _differentiable simulations_, as well as extensions such
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as reinforcement learning and uncertainty modeling.
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These methods have a huge potential to fundamentally change what we can achieve
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We live in exciting times: these methods have a huge potential to fundamentally change what we can achieve
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with simulations.
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