class_docstr: An input filter is a module that filters the input from an environment to the agent.
class_docstr_tok: ["An","input","filter","is","a","module","that","filters","the","input","from","an","environment","to","the","agent","."]
code: def observation_filters(
      self, val: Dict[str, Dict[str, "ObservationFilter"]]
  ):
      self._observation_filters = val
  
imports: import copy
  import os
  from collections import OrderedDict
  from copy import deepcopy
  from typing import Dict, Union, List
  from rl_coach.core_types import EnvResponse, ActionInfo, Transition
  from rl_coach.spaces import ActionSpace, RewardSpace, ObservationSpace
  from rl_coach.utils import force_list
label_desc: Use image node_id 10 for calling the InputFilter obj's underlying member method code with example usage: obj.observation_filters(val) without return types