class_docstr: Action taken is uniformly random.
  
  Args:
      env_spec (EnvSpec): Environment spec to explore.
docstr: Reset the state of the exploration.
  
  Args:
      do_resets (List[bool] or numpy.ndarray or None): Which
          vectorization states to reset.
docstr_tok: ["Reset","the","state","of","the","exploration",".","Args",":","do_resets","(","List","[","bool","]","or","numpy.ndarray","or","None",")",":","Which","vectorization","states","to","reset","."]
code: def reset(self, do_resets=None):
      """Reset the state of the exploration.
  
      Args:
          do_resets (List[bool] or numpy.ndarray or None): Which
              vectorization states to reset.
  
      """
      self._iteration += 1
      super().reset(do_resets)
  
imports: import gym
  from garage.np.policies.policy import Policy
label_desc: Use image node_id 2 for calling the UniformRandomPolicy obj's underlying member method code with example usage: obj.reset(do_resets) without return types