Translations:Diffusion Models Are Real-Time Game Engines/19/en: Difference between revisions

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We always train our generative model with the teacher forcing objective. Given a simulation distribution function <math>q</math>, the environment <math>\mathcal{E}</math> can be simulated by auto-regressively sampling observations.

We always train our generative model with the teacher forcing objective. Given a simulation distribution function Failed to parse (SVG with PNG fallback (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle q} , the environment ${\mathcal {E}}$ can be simulated by auto-regressively sampling observations.

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