class_docstr: Wrapper around another workers that initializes a TensorFlow Session.
class_docstr_tok: ["Wrapper","around","another","workers","that","initializes","a","TensorFlow","Session","."]
docstr: Take a single time-step in the current episode.
  
  Returns:
      bool: True iff the episode is done, either due to the environment
          indicating termination of due to reaching `max_episode_length`.
docstr_tok: ["Take","a","single","time-step","in","the","current","episode",".","Returns",":","bool",":","True","iff","the","episode","is","done",",","either","due","to","the","environment","indicating","termination","of","due","to","reaching","`","max_episode_length","`","."]
code: def step_episode(self):
      """Take a single time-step in the current episode.
  
      Returns:
          bool: True iff the episode is done, either due to the environment
              indicating termination of due to reaching `max_episode_length`.
  
      """
      return self._inner_worker.step_episode()
  
file_path: garage/src/garage/tf/samplers/worker.py
imports: import tensorflow
  from garage.sampler.worker import Worker
label_desc: Use image node_id 12 for calling the TFWorkerWrapper obj's underlying member method code with example usage: obj.step_episode() and returns: self