Several thoughts for future work: 1. Continue training on all of the games that used the Doom engine to see if it is capable of creating new graphics, enemies,

Several thoughts for future work: 1. Continue training on all of the games that used the Doom engine to see if it is capable of creating new graphics, enemies, weapons, etc. I think you would need to embed more details for this perhaps information about what is present in the current level so that you could prompt it to produce a new level from some combination. 2. Could embedding information from the map view or a raytrace of the surroundings of the player position help with consistency? I suppose the model would need to predict this information as the neural simulation progressed. 3. Can this technique be applied to generating videos with consistent subjects and environments by training on a camera view of a 3D scene and embedding the camera position and the position and animation states of objects and avatars within the scene? 4. What would the result of training on a variety of game engines and games with different mechanics and inputs be? The space of possible actions is limited by the available keys on a keyboard or buttons on a controller but the labelling of the characteristics of each game may prove a challenge if you wanted to be able to prompt for specific details.