Karlson Pfannschmidt
Karlson Pfannschmidt
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Reinforcement learning
Efficient time stepping for numerical integration using reinforcement learning
Many problems in science and engineering require the efficient numerical approximation of integrals, a particularly important application being the numerical solution of initial value problems for differential equations. For complex systems, an …
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