🧵 2. GameNGen trains in two phases: an RL-agent plays the game, and a diffusion model generates frames. The focus is on human-like gameplay data generation.
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🧵 2. GameNGen trains in two phases: an RL-agent plays the game, and a diffusion model generates frames. The focus is on human-like gameplay data generation.