We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using only a small amount of labeled contractor data. With fine-tuning, our model can learn to craft diamond tools, a task that usually takes proficient humans over 20 minutes (24,000 actions). Our model uses the native human interface of keypresses and mouse movements, making it quite general, and represents a step towards general computer-using agents.
Retour aux articles
IAOpenAI News
Learning to play Minecraft with Video PreTraining
We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using only a small amount of labeled contractor data. With fine-tuning, our mo...
Cette source ne fournit qu'un extrait dans son flux RSS. FlowMarket affiche tout le contenu disponible dans le flux et conserve le lien vers la publication originale.
Besoin d'un workflow n8n ou d'aide pour l'installer ?
Après la veille, passez à l'action : trouvez un template n8n ou un créateur capable de l'adapter à vos outils.