class_docstr: Base class for all baselines.
  
  Args:
      env_spec (EnvSpec): Environment specification.
      name (str): Value function name, also the variable scope.
class_docstr_tok: ["Base","class","for","all","baselines",".","Args",":","env_spec","(","EnvSpec",")",":","Environment","specification",".","name","(","str",")",":","Value","function","name",",","also","the","variable","scope","."]
code: def __init__(self, env_spec, name):
      super(ValueFunction, self).__init__()
  
      self._mdp_spec = env_spec
      self.name = name
  
imports: import abc
  import torch.nn
label_desc: Use image node_id 1 to create a new ValueFunction object from inherited base classes: abc, nn with example: obj = ValueFunction(env_spec, name)