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You can use the logit of the probability of winning, and multiply it by a constant so that it looks like centipawns. I do this for my program, and it works very well. I use this, which is the same thing right? https://www.chessprogramming.org/Pawn_Advantage,_Win_Percentage,_and_Elo It's convenient ...

Especially because engines like LC0 score only in terms of probability - without WDL support, there is no meaningful eval display possible. Printing the score in centipawns and expecting the user to know this is meant as win score expectation is a bad hack anyway. The other way around fails also be...

I took a quick look at the content, and it seems there is extremely little machine learning in this book, except for a decision tree in Chapter 2. Mostly genetic algorithms and population-based methods. No neural network. But what they describe may be fun programming experiments.

Zeta v097 and v098 were an attempt to make use of thousands of parallel gpu- threads via an parallel Best-First-MiniMax search and classic evaluation. Very interesting, thanks. When using large neural networks, evaluation is so slow that data transfers between CPU and GPU have very little cost. To ...

I tried to reuse the current tree for the next move, but in Zeta v097/v098 I had to copy the tree back n forth between cpu/gpu, and the memory got quickly filled, so I kept it as disabled option. But in theory it should give you an boost. You store the tree in the GPU? I am very surprised. My intui...

Hi, I have also been generating an opening book automatically. My approach is simply to use MCTS to grow the book, using a long search to evaluate the leaves, and negamax backup. It is a bit similar to the drop-out expansion approach of the Othello book algorithms, but I like the MCTS approach bette...

Another generic game framework.

https://arxiv.org/abs/1908.09453
https://github.com/deepmind/open_spiel

This may be of interest to the chess variant people:
https://arxiv.org/abs/1905.05013
http://ludii.games/

Othello(Reversi)? Nice, how does it do against the big guys, e.g NTest, Edax etc? Also are you gonna release any of them? And will the whole framework be open sourced? I would be interested in a Capablanca Random Chess NN network so I keep dreaming. :D I did Othello very rapidly. It is probably not...

RL has the same problem. Weak moves of early self-play games are rapidly forgotten. In Go, the alphazero method has a very severe problem with ladders. It is similar to what you describe. A fundamental flaw of the Alpha Zero approach is that it learns only from games between strong players. When the...