Author Archive

Monte Carlo Method in Game AIs

As many of my classmates have posted, the Monte Carlo method isn’t actually any single method, but actually represents an entire class of methods which involve taking random samples to find a result.  An interesting application my partner and I found for the Monte Carlo method was for one of the GO AIs we made for one of our other projects. […]

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Greatest Squares Fitting

We’ve been talking about least squares fitting of functions to data points lately in lectures, and this reminded of the decision boundaries used in supervised machine learning. The two are similar in that they both try to “fit” a function (i.e. decision boundary for machine learning) to a given set of […]

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What (and How) You Can Fit on a Floppy

Here are two very interesting games that I found recently. They drastically changed my perception of what you can do with the space on a floppy in this modern era of multi-gigabyte programs.
It started a while back when I was browsing on one of those gaming websites, and stumbled upon a game called Evochron Renegades. […]

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