Using VLMs and Distributed RL to Train Minecraft Agents Without Bottlenecks
max_paperclips · x · 2026-08-17
A new project powered by Netherite combines Vision-Language Models (VLMs) with super-fast distributed Reinforcement Learning (RL) to teach models how to play Minecraft without being bottlenecked by environment speed.
Netherite serves here not just for training tiny policies, but potentially as a rendering farm for world models, where the simulation itself acts as an infinite data loader. The author notes that more critical updates to Netherite are coming soon.
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