electric-slide

MicroDuck dances the Electric Slide and sings along to Achy Breaky Heart

A perpetual policy for the microduck (61-D observation, 14 actions, 50 Hz). Runs until told otherwise — a gait, loaded into a policy slot.

Run it on a robot

sudo robotctl policy load <slot> TheSauceman/microduck-electric-slide

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).

Training

  • task_id: Mjlab-GotATalent-MicroDuck
  • repo: https://github.com/SteveTarter/microduck-challenges
  • branch: claude/project-thread-h4e0o0
  • commit: 238700562
  • checkpoint: 5999
  • seed: 1
  • base: mjlab-microduck 0.1.0 @ 8d0dbc94c
  • started: 2026-10-19T21:55:47Z

Reproduce

Same code, same uv.lock, same command, same seed. Training it again yields a comparable policy, not the same weights: GPU reinforcement learning is not bit-reproducible across machines.

git clone https://github.com/SteveTarter/microduck-challenges
cd microduck-challenges
git checkout 238700562
uv sync
uv run train Mjlab-GotATalent-MicroDuck --env.scene.num-envs 2048 --agent.max-iterations 6000 --agent.seed 1 --agent.logger tensorboard --agent.run-name dance2
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