"""
(oldBoard, oldPlayer, oldStepNbr) = state
if depth >= self.maxMinMaxDepth or oldBoard.is_finished():
return True
else:
return False
def evaluate(self, state):
"""The evaluate function must return an integer value
representing the utility function of the board.
"""
(oldBoard, oldPlayer, oldStepNbr) = state
return calculate_accurate_score(oldBoard, oldPlayer)
def play(self, board, player, step, time_left):
"""This function is used to play a move according
to the board, player and time left provided as input.
It must return an action representing the move the player
will perform.
"""
self.time_left = time_left
self.maxMinMaxDepth = calculate_maxMinMaxDepth(step, time_left)
newBoard = avalam.Board(board.get_percepts(player==avalam.PLAYER2))
state = (newBoard, player, step)
return minimax.search(state, self)
if __name__ == "__main__":
avalam.agent_main(Agent())
return True
else:
return False
def evaluate(self, state):
"""The evaluate function must return an integer value
representing the utility function of the board.
"""
(oldBoard, oldPlayer, oldStepNbr) = state
if oldBoard.get_score() < 0:
return -1
elif oldBoard.get_score() > 0:
return 1
else:
return 0
def play(self, board, player, step, time_left):
"""This function is used to play a move according
to the board, player and time left provided as input.
It must return an action representing the move the player
will perform.
"""
self.time_left = time_left
newBoard = avalam.Board(board.get_percepts(player == avalam.PLAYER2))
state = (newBoard, player, step)
return minimax.search(state, self)
if __name__ == "__main__":
avalam.agent_main(Agent())