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Python CaptureAgent.registerTeam方法代码示例

本文整理汇总了Python中captureAgents.CaptureAgent.registerTeam方法的典型用法代码示例。如果您正苦于以下问题:Python CaptureAgent.registerTeam方法的具体用法?Python CaptureAgent.registerTeam怎么用?Python CaptureAgent.registerTeam使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在captureAgents.CaptureAgent的用法示例。

在下文中一共展示了CaptureAgent.registerTeam方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于我们的系统推荐出更棒的Python代码示例。

示例1: registerInitialState

# 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)
开发者ID:hongjingZ,项目名称:contest,代码行数:32,代码来源:aaaTeam.py


示例2: registerInitialState

# 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)
开发者ID:MDB22,项目名称:Pacman,代码行数:67,代码来源:myTeam.py



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