ZYM/PPCA-AIPacMan-2024
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ZhuangYumin
2024-06-28 02:07:56 +00:00
parent fe0e7182cb
commit 3b6f9da488
1 changed files with 9 additions and 4 deletions
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13
multiagent/multiAgents.py
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@ -68,11 +68,15 @@ class ReflexAgent(Agent):
to create a masterful evaluation function. to create a masterful evaluation function.
""" """
# Useful information you can extract from a GameState (pacman.py) # Useful information you can extract from a GameState (pacman.py)
# successorGameState = currentGameState.generatePacmanSuccessor(action) kInf=1e100
# newPos = successorGameState.getPacmanPosition() successorGameState = currentGameState.generatePacmanSuccessor(action)
new_pos = successorGameState.getPacmanPosition()
# newFood = successorGameState.getFood() # newFood = successorGameState.getFood()
# newGhostStates = successorGameState.getGhostStates() # new_ghost_states = successorGameState.getGhostStates()
new_ghost_positions = successorGameState.getGhostPositions()
# newScaredTimes = [ghostState.scaredTimer for ghostState in newGhostStates] # newScaredTimes = [ghostState.scaredTimer for ghostState in newGhostStates]
if new_pos in new_ghost_positions:
return -kInf
capsules_position = currentGameState.getCapsules() capsules_position = currentGameState.getCapsules()
food_positions = currentGameState.getFood().asList() food_positions = currentGameState.getFood().asList()
action_vec=Actions.directionToVector(action) action_vec=Actions.directionToVector(action)
@ -90,7 +94,6 @@ class ReflexAgent(Agent):
return a[0]*b[1]-a[1]*b[0] return a[0]*b[1]-a[1]*b[0]
def EuclideanDistance(a,b): def EuclideanDistance(a,b):
return ((a[0]-b[0])**2+(a[1]-b[1])**2)**0.5 return ((a[0]-b[0])**2+(a[1]-b[1])**2)**0.5
kInf=1e100
def DistanceAnalysis(current_self_position,object_postion_list,flag="None"): def DistanceAnalysis(current_self_position,object_postion_list,flag="None"):
if len(object_postion_list)==0: if len(object_postion_list)==0:
return 0 return 0
@ -111,6 +114,8 @@ class ReflexAgent(Agent):
return res return res
da_for_foods=DistanceAnalysis(current_self_position,food_positions) da_for_foods=DistanceAnalysis(current_self_position,food_positions)
if new_pos in currentGameState.getFood().asList():
da_for_foods=100
da_for_unscared_ghosts=DistanceAnalysis(current_self_position,not_scared_ghosts_positions,"Ghost") da_for_unscared_ghosts=DistanceAnalysis(current_self_position,not_scared_ghosts_positions,"Ghost")
da_for_scared_ghosts=DistanceAnalysis(current_self_position,scared_ghosts_positions) da_for_scared_ghosts=DistanceAnalysis(current_self_position,scared_ghosts_positions)
da_for_capsules=DistanceAnalysis(current_self_position,capsules_position) da_for_capsules=DistanceAnalysis(current_self_position,capsules_position)