class_docstr: This class creates a continous-state maze problem given a map.
class_docstr_tok: ["This","class","creates","a","continous-state","maze","problem","given","a","map","."]
code: def _is_goal(self, state):
      return (
          state[0] >= self.goal_state[0] - self.goal_width
          and state[1] >= self.goal_state[1] - self.goal_width
      )
  
file_path: CNTK/Examples/ReinforcementLearning/deeprl/env/puddleworld.py
imports: import gym
  import numpy
  from gym import spaces
  from gym.utils import seeding
label_desc: Use image node_id 7 for calling the PuddleWorld obj's underlying member method code with example usage: obj._is_goal(state) and returns: unknown