Apart from Reinforcement Learning, are there any other machine learning approaches to play video games?
Is there any research on models that make predictions by also taking into account the previous predictions?
Which machine learning approach should I use to estimate how many products a research group should have to improve its category?
Is there a neural network in the literature that predicts the next game state based on the current state and the action?
Which approach should I use to classify points above and below a sine function $y(x) = A + B \sin(Cx)$?
Is there a graph neural network algorithm that can deal with a different number of input and output nodes?
How can I detect thin objects (like pens and pencils) without a bounding box but only 2 endpoints and the orientation?
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