class_docstr: Action taken is uniformly random.
  
  Args:
      env_spec (EnvSpec): Environment spec to explore.
code: def __init__(
      self,
      env_spec,
  ):
      assert isinstance(env_spec.action_space, gym.spaces.Box)
      assert len(env_spec.action_space.shape) == 1
      self._env_spec = env_spec
      self._action_space = env_spec.action_space
      self._iteration = 0
  
imports: import gym
  from garage.np.policies.policy import Policy
label_desc: Use image node_id 1 to create a new UniformRandomPolicy object from inherited base classes: Policy with example: obj = UniformRandomPolicy(env_spec)