class_docstr: Agent that selects action uniformly randomly.
docstr: Constructor for RandomAgent.
code: def __init__(self, o_space, a_space):
      """Constructor for RandomAgent."""
      super(RandomAgent, self).__init__(o_space, a_space)
  
      print(
          "Initialized random agent with {0} actions.".format(
              self._num_actions
          )
      )
  
      self.episode_count = 0
      # step_count is incremented each time after receiving reward.
      self.step_count = 0
  
file_path: CNTK/bindings/python/cntk/contrib/deeprl/agent/random_agent.py
imports: import numpy
  from .agent import AgentBaseClass
label_desc: Use image node_id 1 to create a new RandomAgent object from inherited base classes: AgentBaseClass with example: obj = RandomAgent(o_space, a_space)