class_docstr: NOP (no optimization performed) policy search algorithm.
class_docstr_tok: ["NOP","(","no","optimization","performed",")","policy","search","algorithm","."]
docstr: Optimize the policy using the samples.
  
  Args:
      paths (list[dict]): A list of collected paths.
docstr_tok: ["Optimize","the","policy","using","the","samples",".","Args",":","paths","(","list","[","dict","]",")",":","A","list","of","collected","paths","."]
code: def optimize_policy(self, paths):
      """Optimize the policy using the samples.
  
      Args:
          paths (list[dict]): A list of collected paths.
  
      """
  
imports: from garage.np.algos.rl_algorithm import RLAlgorithm
label_desc: Use image node_id 2 for calling the NOP obj's underlying member method code with example usage: obj.optimize_policy(paths) without return types