Instructions to use HlibPlakhtii/microduck-roller-quicksilver-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Microduck
How to use HlibPlakhtii/microduck-roller-quicksilver-v1 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 HlibPlakhtii/microduck-roller-quicksilver-v1
- Notebooks
- Google Colab
- Kaggle
microduck-roller-quicksilver-v1
A simulation competition remix of jrubiosainz/microduck-game-roller-remix12, credited to jrubiosainz and the upstream authors identified in that model's card. The fallback network and all original graph operators are preserved. An additional observation lookup plays a newly searched joint-target sequence when its recorded observations match. Other observations use the original controller.
The new sequence was optimized locally with separable CMA-ES against the unmodified Arena evaluator, runner version 5, MuJoCo 3.10.0, ONNX Runtime 1.24.4, NumPy 2.4.1. Local five-start mean: 0.887 s, 5/5 finishes, command 0.7 m/s. The server's submission result is authoritative.
This is deliberately an in-sample, simulation-only competition policy. The lookup was optimized for the declared evaluation starts; these results are not a claim of general-purpose locomotion or safe real-robot operation. No evaluator, physics, leaderboard data, or server code was changed.
Reproduction artifacts: search_race.py, search-config.json, searched-actions.npz,
and local-verification.json. The stored sequence can be replayed through the Arena's
runner and overlaid on the pinned base with the supplied script's Recorder and overlay.
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Model tree for HlibPlakhtii/microduck-roller-quicksilver-v1
Base model
jrubiosainz/microduck-game-roller-remix8