eloialonso/iris

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Transformers are Sample-Efficient World Models (IRIS) Transformers are Sample-Efficient World Models Vincent Micheli*, Eloi Alonso*, François Fleuret * Denotes equal contribution IRIS agent after 100k environment steps, i.e. two hours of real-time experience tl;dr IRIS is a data-efficient agent trained over millions of imagined trajectories in a world model. The world model is composed of a discrete autoencoder and an autoregressive Transformer. Our approach casts dynamics learning as a sequence...