Instructions to use austindixson/microduck-sprint-improver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Microduck
How to use austindixson/microduck-sprint-improver 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
- Notebooks
- Google Colab
- Kaggle
sprint-improver
An entry for 2 m Sprint of the Microduck Arena. Simulation only.
A remix of jrubiosainz/microduck-game-sprinter-remix4 (revision 175eba558): a seed-1 branch in its free slot 5 (counter 25), whose table rows were re-searched by SPSA gradient descent (seed 1 crossing 0.83942 to 0.83687 s); the branch-table graph lineage goes back to dashi's microduck-sprint-remix-r844. The network is frozen, and every other initializer and operator is the base's.
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. The search scored candidates on the same seeds.
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: sha2563bd79f53654e53ebe4dc3c12905c3aa7ff6df0b2b0e88f4bc7dc4fecd4dc7e7c. Inputobs[1, 61], outputactions[1, 14].manifest.json: the policy manifest (schema 2).
Credits
jrubiosainz, whose policy this is built on, and the authors credited there, and Pollen Robotics. The base declares no licence, and this repository declares none either.
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Model tree for austindixson/microduck-sprint-improver
Base model
suraj-phanindra/microduck-sprint-hc5-aifund