A General Goal-Conditioned Minecraft Model
Researchers at Pantograph have developed a 4B parameter model named Pan, designed to learn goal-directed behavior in Minecraft using internet-scale video data. This approach aims to move beyond traditional reinforcement learning by training models on diverse visual environments to achieve complex, long-horizon tasks.
At Pantograph, we're working on training fully general robotics models that can act autonomously for hours at a time. Especially in robotics, it's difficult to get diverse data at scale. Learning to act from internet video data could allow models to scale with compute, rather than being limited by small action datasets.
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