FreeSkills
Commits, branches and sync with the but CLI
- 361361 downloads
- 198198 likes
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Works with
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RL training of an i4h workflow policy v1.0.0
Use this resource to train an i4h workflow policy with reinforcement learning
New
- 337 downloads
- 139 likes
- 196 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install rl-workflow-policy-trainingWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent validates the chosen RL profile and its scene, objective and model contracts, runs the selected trainer, then evaluates and exports the artifact. You get an exported policy ready for workflow validation.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
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What you get
- SKILL.md: prerequisites, method and troubleshooting
- agents/openai.yaml: agent configuration
- evals/evals.json: test cases
Good fit for
- You want to train a reinforcement learning policy in Isaac Lab or Arena
- You must export a trained policy and then validate it
Not for
Tags
- reinforcement learning
- rsl-rl
- policy
- i4h
About
You say
“Train an RL policy for my workflow with RSL-RL, then export it.”
Skill published by nvidia under the Apache-2.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to train an i4h workflow policy with reinforcement learning
- Review and adjust the result
Content preview
Files
- agents/openai.yaml0.3 KB
- BENCHMARK.md8.1 KB
- evals/evals.json9.9 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- skill-card.md4.3 KB
- SKILL.md14.9 KB
- skill.oms.sig4.7 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/i4h-workflow-train-rl
- Licence
- Apache-2.0
Notice
« i4h-workflow-train-rl » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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