The agent never interacts with the simulator during training or evaluation. There is no user, there is only an agent which trained to play the real game and whi

The agent never interacts with the simulator during training or evaluation. There is no user, there is only an agent which trained to play the real game and which produced the sequences of game frames and actions that were used to train the simulator and to provide ground truth sequences of game experience for evaluation. Their evaluation metrics are all based on running short simulations in the diffusion model which are initiated with some number of conditioning frames taken from the real game engine. Statements in the paper like: "GameNGen shows that an architecture and model weights exist such that a neural model can effectively run a complex game (DOOM) interactively on existing hardware." are wildly misleading.