code: def __init__(self):
      super().__init__()
      self.algorithm = CategoricalDQNAlgorithmParameters()
      self.exploration = CategoricalDQNExplorationParameters()
      self.network_wrappers = {
          "main": CategoricalDQNNetworkParameters()
      }
  
imports: from typing import Union
  import numpy
  from rl_coach.agents.dqn_agent import DQNNetworkParameters, DQNAlgorithmParameters, DQNAgentParameters
  from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
  from rl_coach.architectures.head_parameters import CategoricalQHeadParameters
  from rl_coach.core_types import StateType
  from rl_coach.exploration_policies.e_greedy import EGreedyParameters
  from rl_coach.memories.non_episodic.prioritized_experience_replay import PrioritizedExperienceReplay
  from rl_coach.schedules import LinearSchedule
label_desc: Use image node_id 1 to create a new CategoricalDQNAgentParameters object from inherited base classes: DQNAgentParameters with example: obj = CategoricalDQNAgentParameters()