Python TwentyFortyEight.score1 Examples

Example #1

File: learn1.py Project: Anzhit/2048AI

class Environment(object):
    def __init__(self):
        self.S = TwentyFortyEight()
        self.S.make_tables()
        self.score = 0
        self.S.new_tile()
        print("New Episode")

    def reset(self):
        self.S.score = 0
        self.S.cells = 0
        self.score = 0
        self.S.new_tile()
        return self.S.vectorize_state()

    def step(self, action):
        score_prev = self.S.score1()
        cells = self.S.cells
        self.S.move(action + 1)
        r = self.S.score1() - score_prev
        self.score = self.S.score1()
        if not cells == self.S.cells:
            self.S.new_tile()
        if not self.S.canMove():
            return self.S.vectorize_state(), r, True
        return self.S.vectorize_state(), r, False

    def seed(self, a):
        return

Example #2

File: AI.py Project: Anzhit/2048AI

def monte_play(game_state):
	ans=0.0
	numRuns = 10

	if(game_state.maxValue() >= 16):
		numRuns = 20
	elif(game_state.maxValue() >= 32):
		numRuns = 50
	elif(game_state.maxValue() >= 256):
		numRuns = 75
	elif(game_state.maxValue() >= 512):
		numRuns = 120

	for i in range(numRuns):
		# print(i)
		tmp=TwentyFortyEight()
		tmp.cells=game_state.cells
		tmp.score=game_state.score


		count = 0
		while(tmp.canMove()):
			# count += 1
			# print(count)
			dir=random.choice([1,2,3,4])
			tmp.move(dir)
			tmp.new_tile()
			#print(game_state.cells)
		ans+=tmp.score1()
	ans /= numRuns

	return ans