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Reinforcement Learning for Assignment problem
This paper is dedicated to the application of reinforcement learning combined with neural networks to the general formulation of user scheduling problem.
Predicting dynamical system evolution with residual neural networks
We show how by training neural networks with ResNet-like architecture on the solution samples, models can be developed to predict the ODE system solution further in time.
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