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A General Goal-Conditioned Minecraft Model
We develop a simple method for learning goal-directed behavior from pretraining on internet-scale video, and use it to train a model capable of achieving diverse and out-of-distribution goals in Minecraft. These goals are first seen at inference time, without training on any of them specifically.
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