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.
'''
self.start = gameState.getAgentPosition(self.index)
self.team = CaptureAgent.getTeam(self, gameState)
self.food = CaptureAgent.getFood(self, gameState)
self.foodDefending = CaptureAgent.getFoodYouAreDefending(
self, gameState)
self.opponents = CaptureAgent.getOpponents(self, gameState)
print("Start: ", self.start, "Team: ", self.team, "Food: ", self.food,
"Food Defending:", self.foodDefending, "Opponent: ",
self.opponents)
CaptureAgent.registerInitialState(self, gameState)
'''
def registerInitialState(self, gameState):
CaptureAgent.registerInitialState(self, gameState)
self.myAgents = CaptureAgent.getTeam(self, gameState)
self.opponentsAgents = CaptureAgent.getOpponents(self, gameState)
self.myFoods = CaptureAgent.getFood(self, gameState).asList()
self.opponentsFoods = CaptureAgent.getFoodYouAreDefending(
self, gameState).asList()
def isFoodReturned(self, choice):
'''
ova funkcija proverava da li ce pacman nakon izabrane akcije vratiti pojedenu hranu na svoj teren.
kada vrati hranu na svoj teren, atributi jaSamPojeo i _foodEaten se resetuju na pocetno stanje.
'''
succState = self.getSuccessor(self._gameState, choice)
succPosX = succState.getAgentState(self.index).getPosition()[0]
homeX = CaptureAgent.getFood(self, self._gameState).width // 2
if succPosX == homeX and self.jaSamPojeo is True:
self.jaSamPojeo = False
self._foodEaten = 0
def registerInitialState(self, gameState): """ This method handles the initial setup of the agent to populate useful fields (such as what team we're on). """ CaptureAgent.registerInitialState(self, gameState) self.myAgents = CaptureAgent.getTeam(self, gameState) self.opAgents = CaptureAgent.getOpponents(self, gameState) self.myFoods = CaptureAgent.getFood(self, gameState).asList() self.opFoods = CaptureAgent.getFoodYouAreDefending(self, gameState).asList()
def get_distances_to_food_factor(self, agent_position, agent_index,
enemy_team):
if (enemy_team):
food = CaptureAgent.getFoodYouAreDefending(self.root_agent_object,
self.node_state)
else:
food = CaptureAgent.getFood(self.root_agent_object,
self.node_state)
distances = []
blue_capsule = (-1, -1)
red_capsule = (-1, -1)
for c in self.node_state.data.capsules:
if c[0] > self.node_state.data.layout.width / 2:
blue_capsule = c
else:
red_capsule = c
blue_side = agent_index % 2
if blue_side:
our_capsule = red_capsule
else:
our_capsule = blue_capsule
for i in range(0, food.width):
for j in range(0, food.height):
if food.data[i][j] or our_capsule == (i, j):
distance = CaptureAgent.getMazeDistance(
self.root_agent_object, agent_position, (i, j))
distances.append(distance)
if (len(distances) == 0): return 1
#distance_to_food_factor = sum(distances) / float(len(distances))
distance_to_food_factor = min(distances)
if (distance_to_food_factor == 0):
distance_to_food_factor = 1
distance_to_food_factor = 1 / distance_to_food_factor
distance_to_food_factor = distance_to_food_factor * 1
return distance_to_food_factor
def returnFood(self):
'''
ako sam JA pojeo hranu vrati se nazad
mora try blok jer baca exception u getMazeDistance, kada probam da
se pomerim u jednu stranu, a protivnicki pacman me je pojeo.
Sto sam dalje od kuce to je evalute funkcija losija
'''
try:
predecessor = self.getPreviousObservation()
if predecessor is not None:
pojedenaHrana = len(self.getFood(predecessor).asList()) != len(
self.getFood(self._gameState).asList())
if pojedenaHrana is True and self.jaSamPojeo is True:
xHome = CaptureAgent.getFood(
self, self._gameState).width // 3 + 1
yHome = self._gameState.getAgentState(
self.index).getPosition()[1]
homeCoords = (xHome, yHome)
distanceToHome = self._foodEaten * self.getMazeDistance(
self._succPos, homeCoords)
self._features['distanceToHome'] = distanceToHome
except:
pass
def registerInitialState(self, gameState):
CaptureAgent.registerInitialState(self, gameState)
self.init = gameState.getAgentState(self.index).getPosition()
self.epsilon = 0.0#exploration prob
self.alpha = 0.1 #learning rate
self.discountRate = 0.8
self.dangeFood = []
self.mode = 1
self.weights1 = {'closest-food': 2.35219445732408, 'bias': 2.579502234147277, 'closest-capsule': 2.473714473123398}
self.weights2 = {'closest-food': 1.02910769618005556, 'bias': -6.112936837778204, 'closest-ghosts': -10.11587156566253, 'closest-capsule': 1.257363246901937, 'num-of-walls': -10.4903928122119086, 'time-of-scared-ghosts': 1.6265815562445105, 'reverse': -2.732599631268455}
self.weights3 = {'bias': -0.1619191782335229, 'closest-ghosts': -18.645334316865307, 'num-of-walls': -10.45335435502801, 'distance-back-to-home': 2.0996715469522775, 'time-of-scared-ghosts': 0.7966612961334337, 'reverse': -2.732599631268455,'closest-capsule': 4.523232232232323}
self.weights4 = {'bias': 6.802602309336149, 'distance-back-to-home': 12.7541385540534}
self.finish = False
self.myAgents = CaptureAgent.getTeam(self, gameState)
self.opAgents = CaptureAgent.getOpponents(self, gameState)
self.myFoods = CaptureAgent.getFood(self, gameState).asList()
self.opFoods = CaptureAgent.getFoodYouAreDefending(self, gameState).asList()
self.lostFoods = []
self.gamescore = 0
self.midWidth = gameState.data.layout.width / 2
self.height = gameState.data.layout.height
self.width = gameState.data.layout.width
self.midHeight = gameState.data.layout.height / 2
