class_docstr: A parameters module grouping together parameters related to a neural network based action selection.
class_docstr_tok: ["A","parameters","module","grouping","together","parameters","related","to","a","neural","network","based","action","selection","."]
code: def __init__(self):
      super().__init__()
      self.imitation_model_num_epochs = 100
      self.mask_out_actions_threshold = 0.35
  
imports: from collections import OrderedDict
  from copy import deepcopy
  from typing import Union, List, Dict
  import numpy
  from rl_coach.agents.dqn_agent import DQNAgentParameters, DQNAlgorithmParameters, DQNAgent
  from rl_coach.base_parameters import Parameters
  from rl_coach.core_types import EnvironmentSteps, Batch, StateType
  from rl_coach.graph_managers.batch_rl_graph_manager import BatchRLGraphManager
  from rl_coach.logger import screen
  from rl_coach.memories.non_episodic.differentiable_neural_dictionary import AnnoyDictionary
  from rl_coach.schedules import LinearSchedule
label_desc: Use image node_id 1 to create a new NNImitationModelParameters object from inherited base classes: Parameters with example: obj = NNImitationModelParameters()