Python ChessBoard.get_random_chessboard示例

示例#1

文件： DatabaseLearning.py 项目： paintception/A-Reinforcement-Learning-Approach-for-Solving-Chess-Endgames

 def learn(self, iterations):
     for i in range(0, iterations):
         board = ChessBoard.get_random_chessboard()
         self.parameter_set.calculate_parameters(board)
         rank = self.parameter_set.learning_move()
         if self.parameter_set.rank_higher(self.knowledge, rank):
             self.knowledge = self.parameter_set.update_knowledge(self.knowledge)

示例#2

文件： RandomPlayer.py 项目： paintception/A-Reinforcement-Learning-Approach-for-Solving-Chess-Endgames

if __name__ == '__main__':
    
    draw = 0
    win = 0
    total = 1000.0
    lit = []
    for t in range(0,10):

        draw = 0
        win = 0
        for i in range(0,int(total)):
            board = ChessBoard.get_random_chessboard()
            if i % 1000 == 0:
                print i
            if play_random(board) is  ChessBoard.DRAW:
                draw += 1
            else:
                win += 1

        lit.append((win,draw))


    print lit
    print np.mean(np.array(lit))
    print np.std(np.array(lit))