targetAgents.py 文件源码

def getAction(self, state, agentIndex):
        # print len(state.data.agentStates)
        neighbors = Actions.getPossibleNeighborActions(state.data.agentStates[0].getPosition(), 1.0, state.data.layout.obstacles)
        #print "neighbors", neighbors
        nearestPursuer = None
        distanceToPursuer = 999
        maxDistance = 0
        maxNeighbors = []


        for j in range(1, len(state.data.agentStates)):
            distance = manhattanDistance(state.data.agentStates[0].getPosition(), state.data.agentStates[j].getPosition())
            if distance < distanceToPursuer:
                nearestPursuer = state.data.agentStates[j].getPosition()
                distanceToPursuer = distance
        """
        for i in range(len(neighbors)):
            distance = manhattanDistance(neighbors[i], nearestPursuer)
            if distance > maxDistance:
                maxNeighbors = []
                maxNeighbors.append(neighbors[i])
                maxDistance = distance
            if distance == maxDistance:
                maxNeighbors.append(neighbors[i])


        import random
        random.shuffle(maxNeighbors)
        return maxNeighbors[0]
        """
        for i in range(len(neighbors)):
            distance = manhattanDistance(neighbors[i], nearestPursuer)
            if distance > maxDistance:
                maxNeighbors = []
                maxNeighbors.append(neighbors[i])
                maxDistance = distance
            if distance == maxDistance:
                maxNeighbors.append(neighbors[i])

        return maxNeighbors[0]