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minimaxHeuristics.py
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minimaxHeuristics.py
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import numpy as np
# board (2D array), n, m, sign (X or O), all_moves (list of moves)
# remember previous utility calculations (to reduce computation)
class TTT:
def __init__(self, depth, gamma, sign, opponent, move_limits, prior_limits, m, reward):
self.MAX_DEPTH = depth
self.GAMMA = gamma
self.MY_SIGN = sign
self.OPPO_SIGN = opponent
self.MOVE_LIMITS = move_limits
self.PRIORITY_LIMITS = prior_limits
self.M = m
self.REWARD = reward
def findBestMove(self, board, all_moves, prev ):
l, r, t, b = getCornerVal(len(board), int(self.M/2), prev[0], prev[1])
best_u = float('-inf')
best_move = (-1, -1)
count = 0
for i, move in enumerate(all_moves):
if len(all_moves) <= self.MOVE_LIMITS or count <= self.PRIORITY_LIMITS or (move[0] >= t and move[0] <= b and move[1] >= l and move[1] <= r):
all_moves.remove(move)
board[move[0]][move[1]] = self.MY_SIGN
u = self.minimax(board, all_moves, 1, move, self.MY_SIGN, float('-inf'), float('inf'))
#print(move, " ", u)
if u > best_u:
best_u = u
best_move = move
all_moves.insert(i, move)
if u == self.REWARD:
best_move = move
break
board[move[0]][move[1]] = "-"
count += 1
board[best_move[0]][best_move[1]] = self.MY_SIGN
all_moves.remove(best_move)
return best_move, board, all_moves
# even number depth = my turn
# odd number depth = opponent's turn
def minimax(self, board, all_moves, depth, move, prev, alpha, beta):
win = winner(board, self.M, len(all_moves) == 0, move, prev)
if win != None:
if win == self.MY_SIGN:
return self.REWARD
if win == self.OPPO_SIGN:
return -self.REWARD
else:
return 0
if depth == self.MAX_DEPTH:
u = self.estimate_u(board)
elif prev == self.OPPO_SIGN:
u = self.maxValue(board, all_moves, depth, alpha, beta)
else:
u = self.minValue(board, all_moves, depth, alpha, beta)
return u * self.GAMMA
def maxValue(self, board, all_moves, depth, alpha, beta):
v = float('-inf')
for i, move in enumerate(all_moves):
all_moves.remove(move)
board[move[0]][move[1]] = self.MY_SIGN
v = max(v, self.minimax(board, all_moves, depth+1, move, self.MY_SIGN, alpha, beta))
all_moves.insert(i, move)
board[move[0]][move[1]] = "-"
if v >= beta:
return v
alpha = max(alpha, v)
return v
def minValue(self, board, all_moves, depth, alpha, beta):
v = float('inf')
for i, move in enumerate(all_moves):
all_moves.remove(move)
board[move[0]][move[1]] = self.OPPO_SIGN
v = min(v, self.minimax(board, all_moves, depth+1, move, self.OPPO_SIGN, alpha, beta))
all_moves.insert(i, move)
board[move[0]][move[1]] = "-"
if v <= alpha:
return v
beta = min(beta, v)
return v
# estimate the utilities for current board
# higher point for most likely to win
# lower point for most likely to lose
def estimate_u(self, board):
u = 0
empty = 0
temp = 0
cur_symb = []
cur = ""
per_symb = 1/self.M
# check rows
for row in board:
if "X" in row or "O" in row:
cur = ""
cur_symb = []
empty= 0
temp = 0
for i, symb in enumerate(row):
if symb == "-":
empty += 1
temp -= 1
else:
if symb != cur:
cur_symb = []
cur = symb
if len(cur_symb) == 0:
temp = self.M - empty - 1
else:
temp -= 1
empty = 0
cur_symb.append( i+self.M-1 )
if (temp <= 0) and cur != "":
# Reward need to be changed to 2**n
#u = u + (2**len(cur_symb)) if cur == self.MY_SIGN else u - (2**len(cur_symb))
u = u + (per_symb * len(cur_symb)) if cur == self.MY_SIGN else u - (per_symb * len(cur_symb))
if len(cur_symb) + 1 == self.M:
u = u + len(board) if cur == self.MY_SIGN else u - (len(board)*2)
#u = u + (2**len(cur_symb)) if cur == self.MY_SIGN else u - (2**(len(cur_symb) + 2))
if len(cur_symb) != 0 and cur_symb[0] == i:
cur_symb.pop(0)
# check column
for col in board.T:
if "X" in col or "O" in col:
cur = ""
cur_symb = []
empty= 0
temp = 0
for i, symb in enumerate(col):
if symb == "-":
empty += 1
temp -= 1
else:
if symb != cur:
cur_symb = []
cur = symb
if len(cur_symb) == 0:
temp = self.M - empty - 1
else:
temp -= 1
empty = 0
cur_symb.append( i+self.M-1 )
if (temp <= 0) and cur != "":
#u = u + (2**len(cur_symb)) if cur == self.MY_SIGN else u - (2**len(cur_symb))
u = u + (per_symb * len(cur_symb)) if cur == self.MY_SIGN else u - (per_symb * len(cur_symb))
if len(cur_symb) + 1 == self.M:
u = u + len(board) if cur == self.MY_SIGN else u - (len(board)*2)
#u = u + (2**len(cur_symb)) if cur == self.MY_SIGN else u - (2**(len(cur_symb) + 2))
if len(cur_symb) != 0 and cur_symb[0] == i:
cur_symb.pop(0)
# check diagonal1
n = len(board)
end = n - self.M + 1
temp_s = []
temp_s.append((0, 0))
for i in range(1, end):
temp_s.append((0, i))
temp_s.append((i, 0))
for i, loc in enumerate(temp_s):
cur_i = loc[0]
cur_j = loc[1]
cur = ""
cur_symb = []
empty= 0
temp = 0
while cur_i < n and cur_j < n:
symb = board[cur_i][cur_j]
if symb == "-":
empty += 1
temp -= 1
else:
if symb != cur:
cur_symb = []
cur = symb
if len(cur_symb) == 0:
temp = self.M - empty - 1
else:
temp -= 1
empty = 0
cur_symb.append( i + self.M - 1 )
if (temp <= 0) and cur != "":
#u = u + (2**len(cur_symb)) if cur == self.MY_SIGN else u - (2**len(cur_symb))
u = u + (per_symb * len(cur_symb)) if cur == self.MY_SIGN else u - (per_symb * len(cur_symb))
if len(cur_symb) + 1 == self.M:
u = u + len(board) if cur == self.MY_SIGN else u - (len(board)*2)
#u = u + (2**len(cur_symb)) if cur == self.MY_SIGN else u - (2**(len(cur_symb) + 2))
if len(cur_symb) != 0 and cur_symb[0] == i:
cur_symb.pop(0)
cur_i += 1
cur_j += 1
# check diagonal 2
temp_s = []
for i in range(end, n):
temp_s.append((0, i))
for i in range(1, end):
temp_s.append((i, n-1))
for i, loc in enumerate(temp_s):
cur_i = loc[0]
cur_j = loc[1]
cur = ""
cur_symb = []
empty= 0
temp = 0
while cur_i < n and cur_j >= 0:
symb = board[cur_i][cur_j]
if symb == "-":
empty += 1
temp -= 1
else:
if symb != cur:
cur_symb = []
cur = symb
if len(cur_symb) == 0:
temp = self.M - empty - 1
else:
temp -= 1
empty = 0
cur_symb.append( i + self.M - 1 )
if (temp <= 0) and cur != "":
#u = u + (2**len(cur_symb)) if cur == self.MY_SIGN else u - (2**len(cur_symb))
u = u + (per_symb * len(cur_symb)) if cur == self.MY_SIGN else u - (per_symb * len(cur_symb))
if len(cur_symb) + 1 == self.M:
u = u + len(board) if cur == self.MY_SIGN else u - (len(board)*2)
#u = u + (2**len(cur_symb)) if cur == self.MY_SIGN else u - (2**(len(cur_symb) + 2))
if len(cur_symb) != 0 and cur_symb[0] == i:
cur_symb.pop(0)
cur_i += 1
cur_j -= 1
return u * self.GAMMA
def getCornerVal(n, m, row, col):
l = r = t = b = -1
l = col - m + 1
l = l if l >= 0 else 0
r = col + m - 1
r = r if r < n else n -1
t = row - m + 1
t = t if t >= 0 else 0
b = row + m -1
b = b if b < n else n -1
return l, r, t, b
# check who win by checking the latest move!
# prev is the sign of agent that makes the move
def winner(board, m, terminate_state, move, prev):
if terminate_state: # board is full
return "-"
n = len(board)
j, right, i, bottom = getCornerVal(n, m, move[0], move[1])
# get corner case of diagonals
temp = m -1
d1_i = move[0] - temp
d1_j = move[1] - temp
if d1_i < 0 or d1_j < 0:
if d1_i <= d1_j:
d1_i = 0
d1_j = move[1] - move[0]
else:
d1_i = d1_i - d1_j
d1_j = 0
d2_i = move[0] - temp
d2_j = move[1] + temp
if d2_j >= n or d2_i < 0:
if d2_j >= n:
d2_i = move[0] + move[1] - n + 1
d2_j = n - 1
else:
d2_i = 0
d2_j = move[0] + move[1]
diag1 = diag2 = rows = cols = 0
row, col = move
while(i <= bottom or j <= right):
if j <= right and board[row][j] == prev:
rows += 1
else:
rows = 0
if i <= bottom and board[i][col] == prev:
cols += 1
else:
cols = 0
if d1_i < n and d1_i >= 0 and d1_j >= 0 and d1_j < n and board[d1_i][d1_j] == prev:
diag1 += 1
else:
diag1 = 0
if d2_i < n and d2_i >= 0 and d2_j < n and d2_j >= 0 and board[d2_i][d2_j] == prev:
diag2 += 1
else:
diag2 = 0
if diag1 == m or diag2 == m or rows == m or cols == m:
return prev
i+=1
j+=1
d1_i += 1
d1_j += 1
d2_i += 1
d2_j -= 1
return None