Python CaptureAgent.registerTeam方法代码示例

# 需要导入模块: from captureAgents import CaptureAgent [as 别名]
# 或者: from captureAgents.CaptureAgent import registerTeam [as 别名]
  def registerInitialState(self, gameState):
    """
    This method handles the initial setup of the
    agent to populate useful fields (such as what team
    we're on).

    A distanceCalculator instance caches the maze distances
    between each pair of positions, so your agents can use:
    self.distancer.getDistance(p1, p2)
    IMPORTANT: This method may run for at most 15 seconds.
    """

    '''
    Make sure you do not delete the following line. If you would like to
    use Manhattan distances instead of maze distances in order to save
    on initialization time, please take a look at
    CaptureAgent.registerInitialState in captureAgents.py.
    '''
    CaptureAgent.registerInitialState(self, gameState)

    '''
    Your initialization code goes here, if you need any.
    '''
    if self.red:
      CaptureAgent.registerTeam(self, gameState.getRedTeamIndices())
    else:
      CaptureAgent.registerTeam(self, gameState.getBlueTeamIndices())

    #Agents try to go to center with top or bottom bias
    self.goToCenter(gameState)

# 需要导入模块: from captureAgents import CaptureAgent [as 别名]
# 或者: from captureAgents.CaptureAgent import registerTeam [as 别名]
  def registerInitialState(self, gameState):
    """
    This method handles the initial setup of the
    agent to populate useful fields (such as what team
    we're on). 
    
    A distanceCalculator instance caches the maze distances
    between each pair of positions, so your agents can use:
    self.distancer.getDistance(p1, p2)

    IMPORTANT: This method may run for at most 15 seconds.
    """
    ''' 
    Make sure you do not delete the following line. If you would like to
    use Manhattan distances instead of maze distances in order to save
    on initialization time, please take a look at
    CaptureAgent.registerInitialState in captureAgents.py. 
    '''
    CaptureAgent.registerInitialState(self, gameState)

    ''' 
    Your initialization code goes here, if you need any.
    '''
    # Sets if agent is on red team or not
    if self.red:
      CaptureAgent.registerTeam(self, gameState.getRedTeamIndices())
    else:
      CaptureAgent.registerTeam(self, gameState.getBlueTeamIndices())

    # Get how large the game space is
    self.x, self.y = gameState.getWalls().asList()[-1] 
    # Legal positions are positions without walls
    self.legalPositions = [p for p in gameState.getWalls().asList(False) if p[1] > 1]
    self.walls = list(gameState.getWalls())
    # Chokes contains choke points on our side of game space
    self.chokes = [] 
    
    # Offsets for how far away from middle our ghosts should sit if an invader is detected
    # but cannot be seen for some reason
    if self.red:
        xAdd = -3
    else:
        xAdd = 4
    
    # Find all choke points of interest
    for i in range(self.y): 
        if not self.walls[self.x/2+xAdd][i]:
            self.chokes.append(((self.x/2+xAdd), i))	
    if self.index == max(gameState.getRedTeamIndices()) or self.index == max(gameState.getBlueTeamIndices()):
        x, y = self.chokes[3*len(self.chokes)/4]
    else:
        x, y = self.chokes[1*len(self.chokes)/4]
    self.goalTile = (x, y) 

    # beliefs is used to infere the position of enemy agents using noisey data
    global beliefs
    beliefs = [util.Counter()] * gameState.getNumAgents() 
    
    # All beliefs begin with the agent at its inital position
    for i, val in enumerate(beliefs):
        if i in self.getOpponents(gameState): 
            beliefs[i][gameState.getInitialAgentPosition(i)] = 1.0  
      
    #Agents inital move towards the centre with a bias for either the top or the bottom
    self.goToCenter(gameState)