The rules of the game

 The preceding applications concern data types we can see, hear,  or read. However, generative models also have applications to generate rules. This is useful in a populat application of deep learning: using algorithms to play board games or Atari video games.

While these applications have traditionally used reinforcement learning (RL) techniques to train netwo4rks to employ the optirnal strategy in these games, new research has suggested using GANs to propose novel rules as part of the training process, or to generate synthetic data to prime the overall learning process. We will examine both applications in Chapter 12, Play Video Games with Generative AI: GAIL.