GROOT is a research series investigating how self-supervised and weakly supervised learning can be used to train agents that follow instructions.
CraftJarvis
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ROCKET is the research series that explores vision-based goal specification methods.
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ROCKET-2: Steering Visuomotor Policy via Cross-View Goal Alignment
Paper • 2503.02505 • Published • 7 -
ROCKET-1: Master Open-World Interaction with Visual-Temporal Context Prompting
Paper • 2410.17856 • Published • 52 -
phython96/ROCKET-1
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phython96/ROCKET-2-1x-22w
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CraftJarvis/JarvisVLA-Qwen2-VL-7B
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CraftJarvis/MineStudio_GROOT.18w_EMA
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CraftJarvis/MineStudio_ROCKET-1.12w_EMA
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CraftJarvis/MineStudio_VPT.rl_for_build_portal_2x
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CraftJarvis/MineStudio_VPT.rl_for_shoot_animals_2x
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CraftJarvis/MineStudio_STEVE-1.official
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CraftJarvis/MineStudio_VPT.bc_early_game_3x
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CraftJarvis/MineStudio_VPT.bc_house_3x
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CraftJarvis/MineStudio_VPT.foundation_model_3x
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CraftJarvis/MineStudio_VPT.foundation_model_1x
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CraftJarvis/minecraft-vlp
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CraftJarvis/minecraft-vla-sft
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CraftJarvis/minestudio-data-10xx-v110
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CraftJarvis/minestudio-data-9xx-v110
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CraftJarvis/minestudio-data-8xx-v110
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CraftJarvis/minestudio-data-6xx-v110
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CraftJarvis/minestudio-data-7xx-v110
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CraftJarvis/minestudio-data-10xx-v106
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CraftJarvis/minestudio-data-9xx-v106
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CraftJarvis/minestudio-data-8xx-v106
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