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28ed627 8ffe514 28ed627 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | # Adding a policy
1. Use a unique lowercase, hyphenated model ID under `policies/`.
2. Use the `embodichain-rl-run-v1` layout: `checkpoint.pt`, `run-manifest.json`,
`configs/train.yaml`, `configs/env.yaml` and `evaluation.json`. Keep manifest
and configuration references relative. State any applicable weight license explicitly.
3. Record the training source, checkpoint selection basis, tested software
versions, limitations and checkpoint metadata in evaluation.json. Keep MP4 files, robot
assets, local paths, credentials and training logs outside this repository.
4. Check checkpoint/configuration consistency and evaluate with the declared
runtime and an empty asset cache before publication.
5. Update index.json and the model files in the same reviewed repository
revision. Keep the revision history referenced by released EmbodiChain
versions. New environment implementations or model formats need matching
EmbodiChain/task-package support before they can be evaluated.
Keep shared usage instructions in EmbodiChain documentation and link them from
the repository README. Individual model README files are not required.
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