code: def predict(
      self, states, actions, rewards, returns_to_go, timesteps, **kwargs
  ):
      return self.model.get_action(
          states, actions, rewards, returns_to_go, timesteps
      )
  
file_path: PARL/parl/algorithms/torch/dt.py
imports: import torch
  import numpy
  import parl
  import time
label_desc: Use image node_id 2 for calling the DecisionTransformer obj's underlying member method code with example usage: obj.predict(states, actions, rewards, returns_to_go, timesteps) and returns: self