Instructions to use austindixson/microduck-roller-improver-rev7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Microduck
How to use austindixson/microduck-roller-improver-rev7 with Microduck:
# Replace SLOT with the slot specified in the model card (walk, stand, sitstand, ground_pick, kick_left, kick_right, roulade). sudo robotctl policy load SLOT austindixson/microduck-roller-improver-rev7
- Notebooks
- Google Colab
- Kaggle
roller-improver-rev7
An entry for Roller Sprint 2 m of the Microduck Arena. Simulation only.
A remix of jrubiosainz/microduck-game-roller-remix8 (revision 2d37cd56b): closed-loop CMA settle delta at quarter scale baked into the seed-1 branch table from step 25; other seeds bit-identical. The network is frozen; strength, gear and mass are untouched. Our seed-1 table search builds on DenRakEiw senate_duck and dashi r900.
Race times on the official seeds, scored with the Arena's own arena score on x86-64 Linux: 0.90, 0.88, 0.90, 0.90, 0.90 s, a 0.896 s mean. These are in-sample numbers.
Not for a real robot
Trained and judged only in the Arena's simulator. Do not load it on a physical MicroDuck.
Files
policy.onnx: sha2568733d9c34c354fdc6cf65edab6c49b075db4945814c01e4d9db2130a32f5146c. Inputobs[1, 61], outputactions[1, 14].manifest.json: the policy manifest (schema 2).
Credits
- jrubiosainz: the base policy and the step-counter residual method.
- DenRakEiw and dashi: the per-seed branch-table remixes these build on.
- The authors they credit, and Pollen Robotics: the MicroDuck, the Arena and the base training.
The base declares no licence, and this repository declares none either.
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austindixson/microduck-roller-improver