# Tag Info

Accepted

### What is sample efficiency, and how can importance sampling be used to achieve it?

An algorithm is sample efficient if it can get the most out of every sample. Imagine yourself playing PONG for the first time. As a human, it would take you within seconds to learn how to play the ...
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### Which books or papers clearly explain the relation between Ising models and deep neural networks?

The following articles Ising models for networks of real neurons (2006) by Gasper Tkacik et al. Deep neural networks for direct, featureless learning through observation: The case of two-dimensional ...
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### What is the "semantic level"?

In language theory, there are generally several admitted levels that can be studied in relation with one another or independently. The semantic level is the one dealing with the meaning of the text ("...
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### Why are reinforcement learning methods sample inefficient?

This is mostly because humans already have information when they start learning the game (priors) that makes them learn it more quickly. We already know to jump on monsters or avoid them or to get ...
Accepted

### If vanishing gradients are NOT the problem that ResNets solve, then what is the explanation behind ResNet success?

They explained in the paper why they introduce residual blocks. They argue that it's easier to learn residual functions $F(x) = H(x) - x$ and then add them to the original representation $x$ to get ...
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