A simple heuristic-based General Game Player

In the previous post, we talked about general game playing. Now let’s build a simple general game player, using the algorithms that we’ve already seen (Iterative deepening DFS and Iterative Deepening Alpha Beta Search).

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Introduction to General Game Playing

So far, we’ve talked about designing agents for specific single player and two-player zero-sum games, using heuristics to guide the search, and saw how we can model and tackle uncertainty in move generation. It’s finally time to discuss General Game Playing (GGP).

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Machine Learning course review

I have been meaning to write a review of this course for a long time. This course is actually very special to me as it was the first MOOC that I ever attended. It is also one of the first few courses that laid the foundation for Coursera. It is taught by Professor Andrew Ng, director of Stanford’s AI lab and co-founder of Coursera.

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