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nottyduck-policies
reachjalil/nottyduck-policies
nottyduck-policies is a reinforcement learning model from reachjalil. 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 onnxruntime. The card lists the license as apache-2.0.
Curated ONNX motor-policy releases for NottyDuck, Jalil's desk-based social media coach built on the open-source MicroDuck platform.
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Updated Aug 29, 2026
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At a glance
- Task
- Reinforcement Learning
- Library
- onnxruntime
- License
- apache-2.0
- Access
- Public
- Created
- Aug 29, 2026
- Updated
- Aug 29, 2026
- SHA
- eee7c16d
Model card
From the Hugging Face model README
NottyDuck policies
Curated ONNX motor-policy releases for NottyDuck, Jalil's desk-based social media coach built on the open-source MicroDuck platform.
Raw training checkpoints live in private per-run repositories. A policy is
promoted here only after simulator rehearsal and a documented evaluation. Files
use policies/<gesture>/<version>/policy.onnx.
The 61-dimensional observation contract and 14-action layout must remain
compatible with the Pollen Robotics MicroDuck runtime. Export through the
repository's scripts/export.py; hand-converted checkpoints may omit the
observation normalizer and are not deployment-ready.
No policy artifact is published in the initial scaffold. Start with the
desk-peck smoke run documented in the source repository.
- Task
- Reinforcement Learning
- Library
- onnxruntime
- License
- apache-2.0
- Created
- Aug 29, 2026
- Updated
- Aug 29, 2026