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tracking/bustersAgents.py

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+# bustersAgents.py
+# ----------------
+# Licensing Information:  You are free to use or extend these projects for
+# educational purposes provided that (1) you do not distribute or publish
+# solutions, (2) you retain this notice, and (3) you provide clear
+# attribution to UC Berkeley, including a link to http://ai.berkeley.edu.
+# 
+# Attribution Information: The Pacman AI projects were developed at UC Berkeley.
+# The core projects and autograders were primarily created by John DeNero
+# (denero@cs.berkeley.edu) and Dan Klein (klein@cs.berkeley.edu).
+# Student side autograding was added by Brad Miller, Nick Hay, and
+# Pieter Abbeel (pabbeel@cs.berkeley.edu).
+
+
+import util
+from util import raiseNotDefined
+from game import Agent
+from game import Directions
+from keyboardAgents import KeyboardAgent
+import inference
+import busters
+
+class NullGraphics:
+    "Placeholder for graphics"
+    def initialize(self, state, isBlue = False):
+        pass
+    def update(self, state):
+        pass
+    def pause(self):
+        pass
+    def draw(self, state):
+        pass
+    def updateDistributions(self, dist):
+        pass
+    def finish(self):
+        pass
+
+class KeyboardInference(inference.InferenceModule):
+    """
+    Basic inference module for use with the keyboard.
+    """
+    def initializeUniformly(self, gameState):
+        "Begin with a uniform distribution over ghost positions."
+        self.beliefs = util.Counter()
+        for p in self.legalPositions: self.beliefs[p] = 1.0
+        self.beliefs.normalize()
+
+    def observeUpdate(self, observation, gameState):
+        noisyDistance = observation
+        pacmanPosition = gameState.getPacmanPosition()
+        allPossible = util.Counter()
+        for p in self.legalPositions:
+            trueDistance = util.manhattanDistance(p, pacmanPosition)
+            if noisyDistance != None and \
+                    busters.getObservationProbability(noisyDistance, trueDistance) > 0:
+                allPossible[p] = 1.0
+        allPossible.normalize()
+        self.beliefs = allPossible
+
+    def elapseTime(self, gameState):
+        pass
+
+    def getBeliefDistribution(self):
+        return self.beliefs
+
+
+class BustersAgent:
+    "An agent that tracks and displays its beliefs about ghost positions."
+
+    def __init__( self, index = 0, inference = "ExactInference", ghostAgents = None, observeEnable = True, elapseTimeEnable = True):
+        try:
+            inferenceType = util.lookup(inference, globals())
+        except Exception:
+            inferenceType = util.lookup('inference.' + inference, globals())
+        self.inferenceModules = [inferenceType(a) for a in ghostAgents]
+        self.observeEnable = observeEnable
+        self.elapseTimeEnable = elapseTimeEnable
+
+    def registerInitialState(self, gameState):
+        "Initializes beliefs and inference modules"
+        import __main__
+        self.display = __main__._display
+        for inference in self.inferenceModules:
+            inference.initialize(gameState)
+        self.ghostBeliefs = [inf.getBeliefDistribution() for inf in self.inferenceModules]
+        self.firstMove = True
+
+    def observationFunction(self, gameState):
+        "Removes the ghost states from the gameState"
+        agents = gameState.data.agentStates
+        gameState.data.agentStates = [agents[0]] + [None for i in range(1, len(agents))]
+        return gameState
+
+    def getAction(self, gameState):
+        "Updates beliefs, then chooses an action based on updated beliefs."
+        for index, inf in enumerate(self.inferenceModules):
+            if not self.firstMove and self.elapseTimeEnable:
+                inf.elapseTime(gameState)
+            self.firstMove = False
+            if self.observeEnable:
+                inf.observe(gameState)
+            self.ghostBeliefs[index] = inf.getBeliefDistribution()
+        self.display.updateDistributions(self.ghostBeliefs)
+        return self.chooseAction(gameState)
+
+    def chooseAction(self, gameState):
+        "By default, a BustersAgent just stops.  This should be overridden."
+        return Directions.STOP
+
+class BustersKeyboardAgent(BustersAgent, KeyboardAgent):
+    "An agent controlled by the keyboard that displays beliefs about ghost positions."
+
+    def __init__(self, index = 0, inference = "KeyboardInference", ghostAgents = None):
+        KeyboardAgent.__init__(self, index)
+        BustersAgent.__init__(self, index, inference, ghostAgents)
+
+    def getAction(self, gameState):
+        return BustersAgent.getAction(self, gameState)
+
+    def chooseAction(self, gameState):
+        return KeyboardAgent.getAction(self, gameState)
+
+from distanceCalculator import Distancer
+from game import Actions
+from game import Directions
+
+class GreedyBustersAgent(BustersAgent):
+    "An agent that charges the closest ghost."
+
+    def registerInitialState(self, gameState: busters.GameState):
+        "Pre-computes the distance between every two points."
+        BustersAgent.registerInitialState(self, gameState)
+        self.distancer = Distancer(gameState.data.layout, False)
+    
+    ########### ########### ###########
+    ########### QUESTION 8  ###########
+    ########### ########### ###########
+
+    def chooseAction(self, gameState: busters.GameState):
+        """
+        First computes the most likely position of each ghost that has
+        not yet been captured, then chooses an action that brings
+        Pacman closest to the closest ghost (according to mazeDistance!).
+        """
+        pacmanPosition = gameState.getPacmanPosition()
+        legal = [a for a in gameState.getLegalPacmanActions()]
+        livingGhosts = gameState.getLivingGhosts()
+        livingGhostPositionDistributions = \
+            [beliefs for i, beliefs in enumerate(self.ghostBeliefs)
+             if livingGhosts[i+1]]
+        "*** YOUR CODE HERE ***"
+        raiseNotDefined()
+        "*** END YOUR CODE HERE ***"