class_docstr: Wrapper around another workers that initializes a TensorFlow Session.
class_docstr_tok: ["Wrapper","around","another","workers","that","initializes","a","TensorFlow","Session","."]
docstr: Update the worker's agent, using agent_update.
  
  Args:
      agent_update (object): An agent update. The exact type of this
          argument depends on the :class:`~Worker` implementation.
docstr_tok: ["Update","the","worker","'s","agent",",","using","agent_update",".","Args",":","agent_update","(","object",")",":","An","agent","update",".","The","exact","type","of","this","argument","depends","on","the",":","class",":","`","~Worker","`","implementation","."]
code: def update_agent(self, agent_update):
      """Update the worker's agent, using agent_update.
  
      Args:
          agent_update (object): An agent update. The exact type of this
              argument depends on the :class:`~Worker` implementation.
  
      """
      self._inner_worker.update_agent(agent_update)
  
file_path: garage/src/garage/tf/samplers/worker.py
imports: import tensorflow
  from garage.sampler.worker import Worker
label_desc: Use image node_id 8 for calling the TFWorkerWrapper obj's underlying member method code with example usage: obj.update_agent(agent_update) without return types