class_docstr: Simple agent for DeepMind Lab.
class_docstr_tok: ["Simple","agent","for","DeepMind","Lab","."]
docstr: Gets an image state and a reward, returns an action.
docstr_tok: ["Gets","an","image","state","and","a","reward",",","returns","an","action","."]
code: def step(self, unused_reward, unused_image):
      """Gets an image state and a reward, returns an action."""
      return random.choice(DiscretizedRandomAgent.ACTION_LIST)
  
file_path: lab/python/random_agent.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import argparse
  import random
  import numpy
  import six
  import deepmind_lab
label_desc: Use image node_id 1 for calling the DiscretizedRandomAgent obj's underlying member method code with example usage: obj.step(unused_reward, unused_image) and returns: random