code: def action_names(self):
      return self.trainer_param.actions
  
imports: import logging
  from typing import Dict, Optional
  import torch
  from reagent.core import types
  from reagent.core.dataclasses import dataclass, field
  from reagent.core.parameters import NormalizationData, NormalizationKey, param_hash
  from reagent.gym.policies.policy import Policy
  from reagent.gym.policies.predictor_policies import create_predictor_policy_from_model
  from reagent.gym.policies.samplers.discrete_sampler import SoftmaxActionSampler
  from reagent.model_managers.model_manager import ModelManager
  from reagent.models.model_feature_config_provider import RawModelFeatureConfigProvider
  from reagent.net_builder.discrete_dqn.dueling import Dueling
  from reagent.net_builder.unions import DiscreteDQNNetBuilder__Union, ValueNetBuilder__Union
  from reagent.training import ReAgentLightningModule, ReinforceTrainer, ReinforceTrainerParameters
  from reagent.workflow.types import ModelFeatureConfigProvider__Union, RewardOptions
label_desc: Use image node_id 2 for calling the Reinforce obj's underlying member method code with example usage: obj.action_names() and returns: self