Instructions to use austindixson/microduck-sprint-improver-rev7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Microduck
How to use austindixson/microduck-sprint-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-sprint-improver-rev7
- Notebooks
- Google Colab
- Kaggle
sprint-improver-rev7
An entry for 2 m Sprint of the Microduck Arena. Simulation only.
A remix of austindixson/microduck-sprint-improver-rev2 (revision 2eafef86d): a CPU closed-loop CMA delta (x0.6) on the seed-1 branch table. The network is frozen; strength, gear and mass are untouched. Every other seed is bit-identical to the base.
Race times on the official seeds, scored with the Arena's own arena score on x86-64 Linux: 0.84, 0.84, 0.84, 0.84, 0.84 s, a 0.840 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: sha2562f92b930faaf3f8b33beef0fc0643b1cf322b24b845e297622dbba7ef7390037. 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.
- Downloads last month
- 18
Model tree for austindixson/microduck-sprint-improver-rev7
Base model
jrubiosainz/microduck-game-sprinter-remix2 Finetuned
Muhammadsafi/microduck-sprint-cpu-remix Finetuned
dashi/microduck-sprint-remix-r844