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And, obviously, we know what the human player played.
Oh, and that match with the human player?
And we trained this network to predict and play the move the human player played.
Our difficult algorithm is good enough that it will give the human player a very good game.
The objective of position sampler is to decide when the human player has confirmed to place a piece at certain position of the chessboard.
In one project he is working on, the human player is the leader of a squad guarding a checkpoint at a bridge.
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We want to get better than the human players.
The human players sit in front of computer workstations.
That surprised the human players involved in the study.
The human players could not communicate with each other.
The performance is also compared to the decision that would be made by the human players.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com