Instructions to use austindixson/microduck-roller-improver-rev10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Microduck
How to use austindixson/microduck-roller-improver-rev10 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-rev10
- Notebooks
- Google Colab
- Kaggle
roller-improver-rev10
An entry for Roller Sprint of the Microduck Arena. Simulation only.
A remix of jrubiosainz/microduck-game-roller-remix8 (revision 2d37cd56b): seed-1 CMA delta in b7_T scaled by 0.9. The network is frozen; strength, gear and mass are untouched. Only seed 1's table changes; the other seeds are bit-identical to remix8.
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: sha25661a60675f1881b3a6ba0b9420d7152d5fd61c1bf5027647d75d15ddabd13e91b. 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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Model tree for austindixson/microduck-roller-improver-rev10
Base model
austindixson/microduck-roller-improver Finetuned
DenRakEiw/microduck-senate_duck_0904 Finetuned
dashi/microduck-roller-remix-r900 Finetuned
jrubiosainz/microduck-game-roller-remix8