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Andrew Ng’s keynote at ICDL 2008 was quite enjoyable. If nothing else, he has killer demos. One of the themes of the keynote was a particular view that machine learning is moving towards solving learning problems with a paucity of available labels. He quoted Geoff Hinton’s work on deep belief nets as an example of [...]

It turns out that optimizing warehouse tasks is hard.

As I near completion on my final project for a course on reinforcement learning, I came across the following from Sutton’s page on tile coding: With the code described so far, there is a small probability that unrelated inputs will hash into some of the same tiles. In a group of tilings, usually there will [...]