For example, it'll take pieces hoping that the opponent doesn't take back, but if they do, you're in a worse position than if you had played something else. The AI client was implemented in Go ( so I could use my chess lib ) and the model was hosted on a colocated python based gRPC server serving the model on Nvidia 2080 accelerated linux server I have at home.
Chess against stockfish full#
The problem with this kind of crude excitingness detector is that it basically will play forcing moves hoping the opponent doesn't find the easy-to-find best reply. Using alpha beta search, transposition tables, and few other standard chess AI techniques we can create a full chess engine to play against. You could start your heuristics with looking for lines where the top reply is bad for you up to some threshold (say -1.0 from your perspective), but all the other reasonable replies are good for you.
Chess against stockfish how to#
So the key thing there is how to make the "excitingness" detector. AlphaZero won 290 matches and only lost 60, using the 12 most popular human openings. AlphaZero defeated Stockfish at TCEC (The Chess Experiment Competition) in December 2017. To make your engine, you could 1) query stockfish for its top moves and the lines that result, 2) come up with your own heuristic metrics for which of the lines is most "exciting" or "tricky", and 3) output that move from your engine instead of the top move. AlphaZero can also play against itself and learn from those previous matches. You could also interact with the engine with plain shell scripting or really any language that is capable of starting a command-line process and reading/writing to its standard in/out streams. It has interfaces to interact with standard UCI engines such as stockfish. If you want to make your own engine that plays like this and you know some python, I'd suggest the python-chess package. In my experience, that is what people miss about the old way of playing in the pre-engine era, which is that you take risks (meaning your position is strictly worse with best play from your opponent) but you know that its very tricky to find the best replies. as elegant as the chess games that AlphaZero played against. I think the kind of exciting chess you're talking about boils down to an engine that evaluates very accurately like Stockfish, but sometimes plays inaccurate lines which contain very favorable variations. The current generation of the world’s strongest chess programs, such as Stockfish and Komodo, still play in this inhuman style.
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