def METHOD_NAME(self) -> Tuple[torch.Tensor]:
    average_episode_reward = 0
    steps = 0
    if True:
        obs = self.env.reset()
        episode_reward = 0
        episode_step = 0
        with eval_mode(self.agent):
            action = self.agent.act(obs, sample=False)
        obs, reward, done, info = self.env.step(action)
        episode_reward += reward
        episode_step += 1
        average_episode_reward += episode_reward
        steps += 1
    average_episode_reward /= float(steps)
    return (torch.Tensor(action), )