A Series of Open-Source RL-Finetuned Hierarchical Agentic Models
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GROOT is a research series investigating how self-supervised and weakly supervised learning can be used to train agents that follow instructions.
Vision-Language-Action Models in Minecraft.
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CraftJarvis/JarvisVLA-Qwen2-VL-7B
Image-Text-to-Text • 8B • Updated • 728 • 12 -
JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse
Paper • 2503.16365 • Published • 41 -
Minecraft VLM Leaderboard
🏢12Search and view Minecraft LLM leaderboard
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CraftJarvis/minecraft-vla-sft
Viewer • Updated • 3.78M • 964 • 11
A Series of Open-Source Hierarchical Agentic Models & Datasets in Minecraft
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OpenHA: A Series of Open-Source Hierarchical Agentic Models in Minecraft
Paper • 2509.13347 • Published • 1 -
CraftJarvis/minecraft-openha-qwen2vl-7b-2509
Image-Text-to-Text • 8B • Updated • 1.35k • 1 -
CraftJarvis/minecraft-textvla-qwen2vl-7b-2509
Image-Text-to-Text • 8B • Updated • 7 • 1 -
CraftJarvis/minecraft-pointha-qwen2vl-7b-2509
Image-Text-to-Text • 8B • Updated • 18 • 2
ROCKET is the research series that explores vision-based goal specification methods.
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Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents
Paper • 2507.23698 • Published • 11 -
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
Robotics • 0.1B • Updated • 20 • 5
A Series of Open-Source RL-Finetuned Hierarchical Agentic Models
A Series of Open-Source Hierarchical Agentic Models & Datasets in Minecraft
-
OpenHA: A Series of Open-Source Hierarchical Agentic Models in Minecraft
Paper • 2509.13347 • Published • 1 -
CraftJarvis/minecraft-openha-qwen2vl-7b-2509
Image-Text-to-Text • 8B • Updated • 1.35k • 1 -
CraftJarvis/minecraft-textvla-qwen2vl-7b-2509
Image-Text-to-Text • 8B • Updated • 7 • 1 -
CraftJarvis/minecraft-pointha-qwen2vl-7b-2509
Image-Text-to-Text • 8B • Updated • 18 • 2
GROOT is a research series investigating how self-supervised and weakly supervised learning can be used to train agents that follow instructions.
ROCKET is the research series that explores vision-based goal specification methods.
-
Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents
Paper • 2507.23698 • Published • 11 -
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
Robotics • 0.1B • Updated • 20 • 5
Vision-Language-Action Models in Minecraft.
-
CraftJarvis/JarvisVLA-Qwen2-VL-7B
Image-Text-to-Text • 8B • Updated • 728 • 12 -
JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse
Paper • 2503.16365 • Published • 41 -
Minecraft VLM Leaderboard
🏢12Search and view Minecraft LLM leaderboard
-
CraftJarvis/minecraft-vla-sft
Viewer • Updated • 3.78M • 964 • 11