class_docstr: Agent that selects action uniformly randomly.
docstr: Last observed reward/state of the episode (which then terminates).
code: def end(self, reward, next_state):
      """Last observed reward/state of the episode (which then terminates)."""
      self.step_count += 1
  
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 4 for calling the RandomAgent obj's underlying member method code with example usage: obj.end(reward, next_state) without return types