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  - 100M<n<1B
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- #Connect 4 Solver Outputs
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- About 100M + 60M observations and targets generated with a (solver)[https://github.com/PascalPons/connect4]. Observations are of shape (2,6,7) with binary (0 or 255) data.
 
 
 
 
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  The first channel represents the stones placed by the current player while the second channel represent the stones played by the opoonent.
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- The targets are the scores returned by the solver for placing the next stone in earch column. E.g. 1 / -1 means winning / losing on the last possible move, 2 / -2 means winning / losing one move before etc.
 
 
 
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+ Connect 4 Solver Outputs
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+ About 100M + 60M observations and targets generated from selfplay with a solver [https://github.com/PascalPons/connect4] with temperature.
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+ Observations from different depths are roughly uniformly distributed, altough later positions are reached less frequently.
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+ As a consequence early positions are duplicated and there is a small overlap between the train and test split (less than 3%).
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+ Observations are of shape (2,6,7) with binary (0 or 255) data.
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  The first channel represents the stones placed by the current player while the second channel represent the stones played by the opoonent.
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+ The targets are the scores returned by the solver for placing the next stone in earch column. E.g. 1 / -1 means winning / losing on the last possible move, 2 / -2 means winning / losing one move before etc.
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