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 __init__(self, *args, **kwargs):
      self.eta = kwargs.pop("eta", 1.0)
      super().__init__(*args, **kwargs)
  
imports: from abc import ABCMeta
  from abc import abstractmethod
  import chainer
  import chainer.functions
  from chainerrl.agents.dqn import DQN
label_desc: Use image node_id 1 to create a new DPP object from inherited base classes: AbstractDPP with example: obj = DPP()