environment.py (original)
# environment.py
# --------------
# Licensing Information: Please do not distribute or publish solutions to this
# project. You are free to use and extend these projects for educational
# purposes. The Pacman AI projects were developed at UC Berkeley, primarily by
# John DeNero (denero@cs.berkeley.edu) and Dan Klein (klein@cs.berkeley.edu).
# For more info, see http://inst.eecs.berkeley.edu/~cs188/sp09/pacman.html
#!/usr/bin/python
class Environment:
def getCurrentState(self):
"""
Returns the current state of enviornment
"""
abstract
def getPossibleActions(self, state):
"""
Returns possible actions the agent
can take in the given state. Can
return the empty list if we are in
a terminal state.
"""
abstract
def doAction(self, action):
"""
Performs the given action in the current
environment state and updates the enviornment.
Returns a (reward, nextState) pair
"""
abstract
def reset(self):
"""
Resets the current state to the start state
"""
abstract
def isTerminal(self):
"""
Has the enviornment entered a terminal
state? This means there are no successors
"""
state = self.getCurrentState()
actions = self.getPossibleActions(state)
return len(actions) == 0