Instructions to use austindixson/microduck-sprint-improver-rev4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Microduck
How to use austindixson/microduck-sprint-improver-rev4 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-rev4
- Notebooks
- Google Colab
- Kaggle
sprint-improver-rev4
An entry for 2 m Sprint of the Microduck Arena. Simulation only.
A remix of austindixson/microduck-sprint-improver-rev2 (revision 2eafef86d): physics-knob search plus a closed-loop CMA delta baked into the seed-1 branch table (other seeds bit-identical). The network is frozen; strength, gear and mass are untouched. The base itself remixes jrubiosainz's game-sprinter-remix4.
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: sha256eb10be84c3a8fd4afe4095e28f72297932c5a6724a5af0fd90a0ad0e09115f30. 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-sprint-improver-rev4
Base model
jrubiosainz/microduck-game-sprinter-remix2