class_docstr: Dynamic Policy Programming with softmax operator.
  
  Args:
    eta (float): Positive constant.
  
  For other arguments, see DQN.
class_docstr_tok: ["Dynamic","Policy","Programming","with","softmax","operator",".","Args",":","eta","(","float",")",":","Positive","constant",".","For","other","arguments",",","see","DQN","."]
code: def _l_operator(self, qout):
      return qout.compute_expectation(self.eta)
  
imports: from abc import ABCMeta, abstractmethod
  import torch
  from pfrl.agents.dqn import DQN
  from pfrl.utils.recurrent import pack_and_forward
label_desc: Use image node_id 2 for calling the DPP obj's underlying member method code with example usage: obj._l_operator(qout) and returns: qout