实验报告

multiagent/multiagent/multiAgents.py

@@ -171,38 +171,7 @@ class MinimaxAgent(MultiAgentSearchAgent):
         Returns whether or not the game state is a losing state
         """
         "*** YOUR CODE HERE ***"
-        '''
-        GhostIndex = [i for i in range(1, gameState.getNumAgents())]
-        def gameOver(state, d):
-            return state.isWin() or state.isLose() or d == self.depth
-        def min_value(state, d, ghost):  # minimizer
 
-            if gameOver(state, d):
-                return self.evaluationFunction(state)
-
-            Beta = 10000000000000000
-            for action in state.getLegalActions(ghost):
-                if ghost == GhostIndex[-1]:
-                    Beta = min(Beta, max_value(state.generateSuccessor(ghost, action), d + 1))
-                else:
-                    Beta = min(Beta, min_value(state.generateSuccessor(ghost, action), d, ghost + 1))
-            return Beta
-
-        def max_value(state, d):  # maximizer
-            if gameOver(state, d):
-                return self.evaluationFunction(state)
-            Alpha = -10000000000000000
-            for action in state.getLegalActions(0):
-                if action == 'Stop':
-                    continue
-                Alpha = max(Alpha, min_value(state.generateSuccessor(0, action), d, 1))
-            return Alpha
-        res = [(action, min_value(gameState.generateSuccessor(0, action), 0, 1)) for action in
-               gameState.getLegalActions(0)]
-        res.sort(key=lambda k: k[1])
-        return res[-1][0]
-        util.raiseNotDefined()
-        '''
         def gameOver(gameState):
             return gameState.isWin() or gameState.isLose()
         #Be different with me