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One of the sports most amenable to game theory analysis is baseball. This is due to a lot of factors, including the vast number of isolated, 1v1 encounters (on every pitch thrown) and the relative ease with which results can be quantified for each player (as opposed to say, football, where it’s difficult to measure […]

Forming Relations Between Supervised Learning and Games

Paper: https://papers.nips.cc/paper/6315-deep-learning-games.pdf Supervised learning can be described as the learning task of making predictions on data with unknown labels by using previous labeled data. This paper, by Dale Schuurmans and Martin Zinkevich at Google, is able to form a reduction of supervised learning to game playing. At first, they look at simple convex one-layer problems. […]

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