Isaac Lab: skrl policy training

Train an RL policy with the skrl backend and an explicitly selected Isaac Lab task. Inspect the pinned source and setup before use.

isaaclab-scripts-reinforcement-learning-skrl-train-py | Record version: source-54b98ae48deb8af05dfecdb50ae70b87e1d6ddb51e8504040a25bbf18e0158c0

Record JSON | Markdown | Pinned upstream source

Access

Fetch the pinned repository, verify this source checksum, and use upstream installation and invocation. This record does not install or execute code.

Hub preparation adapter: false. Follow the upstream setup and invocation contract.

Source and license

Repository: https://github.com/isaac-sim/IsaacLab
Revision: 37ddf626871758333d6ed89cf64ad702aef127d0
Path: scripts/reinforcement_learning/skrl/train.py
Source SHA256: 54b98ae48deb8af05dfecdb50ae70b87e1d6ddb51e8504040a25bbf18e0158c0
Original authors: The Isaac Lab Project Developers
License: BSD-3-Clause
License scope: Selected first-party workflow Python source only; preserve all upstream copyright, author and per-file notices. This does not relicense model weights, datasets, Gemma or other third-party model code, robot firmware, simulator binaries, meshes, dependencies or external services; their separate terms and access requirements remain applicable.
License SHA256: df351ebfa8af317bf5a9ad83df63a8b68e4f5c04b71f30767cdb27aa434eac62
Hub commit: 1d6d9eb134e397d910265a8d6e7d8f257f9e8d7f

Artifact

{
  "kind": "workflow",
  "format": "python",
  "workflow_role": "policy-training"
}

Requirements

{
  "python": "Use the Python environment required by the pinned Isaac Lab and matching Isaac Sim installation",
  "packages": [
    "Pinned Isaac Lab checkout",
    "Compatible Isaac Sim installation",
    "Selected RL-Games, RSL-RL, Stable Baselines3 or skrl backend"
  ],
  "display": "A supported NVIDIA GPU, matching Isaac Sim/Isaac Lab environment and explicitly selected --task configuration are required. Play scripts also require a matching trained checkpoint; robot morphology and assets are determined by that task.",
  "execution_domain": "simulation",
  "source_imports": [
    "argparse",
    "datetime",
    "gymnasium",
    "isaaclab.app",
    "isaaclab.envs",
    "isaaclab.utils.assets",
    "isaaclab.utils.dict",
    "isaaclab.utils.io",
    "isaaclab_rl.skrl",
    "isaaclab_tasks",
    "isaaclab_tasks.utils.hydra",
    "logging",
    "os",
    "packaging",
    "random",
    "skrl",
    "skrl.utils.runner.jax",
    "skrl.utils.runner.torch",
    "sys",
    "time"
  ]
}

Invocation

{
  "entrypoint": "./isaaclab.sh -p scripts/reinforcement_learning/skrl/train.py",
  "notes": "Use the pinned upstream Isaac Lab launcher with the selected --task and RL backend configuration; play requires a compatible checkpoint. Simulator assets and third-party components retain their own terms. No simulator, package, robot model or checkpoint was loaded during source indexing."
}

Explicit compatibility

[]

Missing environment fields remain unknown. Discovery labels do not establish robot compatibility.

Evidence

Level: source_reviewed; runtime verification: not_run.

Verified exact source, applicable license and author/setup document bytes at a full Git commit; parsed the Python AST and reviewed this guarded operational entrypoint and its explicit license notices. No upstream code, installation, robot command, dataset, mesh or checkpoint was executed or loaded.

Source review and contributor reports do not establish task completion. Preserve upstream attribution and licenses.