code: def increment_step_and_update_last_reward(self):
          
          if len(self.stats['Environment/Cumulative Reward']) > 0:
              mean_reward = np.mean(self.stats['Environment/Cumulative Reward'])
              self.policy.update_reward(mean_reward)
          self.policy.increment_step()
          self.step = self.policy.get_current_step()
docs: Increment the step count of the trainer and Updates the last reward