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neil-jo/microduck-walk
microduck-walk is a reinforcement learning model from neil-jo. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for onnx.
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Updated Sep 8, 2026
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From the Hugging Face model README
Sim checkpoint replay (play.sh). Not the ONNX runtime path, not a real robot, not an official Pollen policy.
Velocity-tracking flat walk from Mjlab-Velocity-Flat-MicroDuck, 4096 envs × 4000 iters on Hugging Face Jobs. Community example from the microduck-plugin loop. Not an official Pollen policy. Weights live here; they are not bundled in the plugin git.
A perpetual policy for the microduck (61-D observation, 14 actions, 50 Hz). Runs until told otherwise — a gait for the walk slot.
git clone https://github.com/acnlabs/microduck-plugin
# Point an Agent Plugins client at that folder (the one with plugin.json).
Skill-only clients:
npx skills add acnlabs/microduck-plugin@microduck-skill -g -y
Then the agent runs localhost control (do not type this yourself unless you are debugging):
control.sh start --repo neil-jo/microduck-walk --detach
ClawHub listing for microduck-skill is still pending review.
sudo robotctl policy load walk neil-jo/microduck-walk
The observation normalizer is baked into policy.onnx; feed raw observations.
manifest.json follows schema 2 of the microduck policy manifest (docs/policy-manifest.md in the daemon repo).
pollen-robotics/microduck_rldevelop29e887ecf