How do Chess Engines work? – Oliver at the ML Conference 2019

By 29. März 2019 Juni 20th, 2019 Publikationen, Vorträge

Preview: In June, Oliver Zeigermann will be at the ML Conference / Munich in the track „Machine Learning Advanced Development“ with the following topic.

„How do Chess Engines work? Looking at Stockfish and AlphaZero“

How do Chess Engines work? Looking at Stockfish and AlphaZero
Speaker: Oliver Zeigermann
Session at ML Conference 2019
June 17 – 19, 2019 | Munich
Sheraton Munich Arabellapark Hotel, Arabellastr. 5, 81825 Munich

Game playing is a classic discipline of AI and had a major break through in the 90s when Deep Blue defeated Kasparov and arguably became the world’s best chess player. First, we will look which algorithms made that success possible and how they are still used within Stockfish, one of the leading chess engines. Here, we will cover Minimax and AlphaBeta pruning.

However, the emphasis of this talk will be on Monte Carlo Tree Search and its advanced use in AlphaZero that relies on zero human heuristics and without even an opening library. You will learn how it trains using self play on a convolutional ResNet architecture. At the end, we will briefly look at a great game between Stockfish and AlphaZero and why the era of classic chess engines might be over.

ML Conference 2019

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