class_docstr: This class creates a maze problem given a map.
class_docstr_tok: ["This","class","creates","a","maze","problem","given","a","map","."]
code: def _reset(self):
      rnd_index = np.random.randint(0, len(self.initial_states))
      self.state = self.initial_states[rnd_index][:]
      return self._encode_state(self.state)
  
file_path: CNTK/Examples/ReinforcementLearning/deeprl/env/maze2d.py
imports: import gym
  import numpy
  from gym import spaces
  from gym.utils import seeding
label_desc: Use image node_id 4 for calling the Maze2D obj's underlying member method code with example usage: obj._reset() and returns: self