# 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
# (firstname.lastname@example.org) and Dan Klein (email@example.com).
# Student side autograding was added by Brad Miller, Nick Hay, and
# Pieter Abbeel (firstname.lastname@example.org).
Returns the current state of enviornment
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.
def doAction(self, action):
Performs the given action in the current
environment state and updates the enviornment.
Returns a (reward, nextState) pair
Resets the current state to the start state
Has the enviornment entered a terminal
state? This means there are no successors
state = self.getCurrentState()
actions = self.getPossibleActions(state)
return len(actions) == 0