Deploying the model and playing the game

Now that we've trained the DQN model, let's apply it to play the Flappy Bird game.

Playing the game with the trained model is simple. We will just take the action associated with the highest value in each step. We will play a few episodes to see how it performs. Don’t forget to preprocess the raw screen image and construct the state.

How to do it...

We test the DQN model on new episodes as follows:

1. We first load the final model:

>>> model = torch.load("{}/final".format(saved_path))

2. We run 100 episodes, and we perform the following for each episode:

>>> n_episode = 100
 >>> for episode in range(n_episode):
 ...     env = FlappyBird...