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- update playerAI/customAI to be smarter and give a best move Stephen
- create a player with a NN implementation that gives a intention and takes as an input the GS plus weights/chromosome Tudor
- create convenience function findPossibleMoves() Rudi
- create convenience function rollDice() Rudi
- convert game to [scorePlayer1, scorePlayer2] = playGame( chromosome player 1, chromosome player 2 ) which outputs the score of the two players after 2 games (so two scores between 6 and 0) Stephen
- create exec that implements the evolutionary algorithm that uses competition between AI's as a fitness function Tudor (aka evolution + runs)