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Datawhale/every-embodied-act-mujoco-pnp
every-embodied-act-mujoco-pnp is a robotics model from Datawhale. Use it for the robotics task on the model card, and read the license before you ship it in a product.
This is the current ACT protection candidate for the Datawhale Every Embodied AMD ROCm tutorial.
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Updated Jul 20, 2026
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From the Hugging Face model README
This is the current ACT protection candidate for the Datawhale Every Embodied AMD ROCm tutorial.
15/303/10 + 4/10 + 8/10b9b178377995a674a06bc5d1500c8e7e7fc5d02649268855f892b3987bf5bfeb4This is a teaching and diagnosis checkpoint, not a claim that the historical 17/30 summary has been fully reproduced. The current score came from an AMD395 wrapper continuation; the matching native training recipe is included in the tutorial Notebook and should be run in a Jupyter-capable environment before calling it a Notebook-native score.
See the Every Embodied AMD ROCm topic and 16_act_end_to_end.ipynb.
The weights/ directory contains the ACT model and configuration. Evaluation metadata and the recipe are kept in evaluation/. Raw datasets are intentionally omitted.
Please follow the licenses of ACT, the base implementation, and the Every Embodied project. This model card describes a reproducible tutorial artifact, not a new policy architecture.