Robot Skill Hub by Superfast Robotics

safe-control-gym: rl experiment

Official safe-control-gym python main example for rl experiment. Inspect the pinned source and upstream setup before use.

safe-control-gym-examples-rl-rl-experiment-py | Record version: source-34c9ba30e901b95866bb99a2ee3d0758e5341a1a33faf8b777646ed800762fe0

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.

For one verified inert file, use the installed CLI's inspect response fetch_source_args and append --project DIR --json. Source-file retrieval creates no environment and does not install or run the source.

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

Source and license

Repository
https://github.com/learnsyslab/safe-control-gym
Revision
6b5391d014f36fdfa0f9d22d92c77387e5274308
Path
examples/rl/rl_experiment.py
Source SHA256
34c9ba30e901b95866bb99a2ee3d0758e5341a1a33faf8b777646ed800762fe0
Source bytes
4700
Original authors
See pinned upstream source and license notices.
License
MIT
License scope
Repository-root code terms only; file headers, third-party code, models, weights, assets and datasets require separate review.
License SHA256
2b394b5a18c67697a141ee6bea2dcb89aa0e3f10a585b3d4482c73b0f07d7831
Hub commit
d800c48cfd84f618a5c6ab84f8f7feec74ab0b56

Requirements

{
  "python": "Inspect the pinned upstream package metadata for the supported Python version.",
  "packages": [],
  "display": "Upstream simulator, robot model, build, display and device requirements; inspect the selected source.",
  "execution_domain": "simulation-or-hardware",
  "source_imports": [
    "functools",
    "matplotlib.pyplot",
    "numpy",
    "safe_control_gym.envs.benchmark_env",
    "safe_control_gym.experiments.base_experiment",
    "safe_control_gym.utils.configuration",
    "safe_control_gym.utils.registration",
    "shutil"
  ]
}

Invocation

{
  "entrypoint": "python examples/rl/rl_experiment.py",
  "notes": "Source reference only. Install the pinned upstream project and its stated dependencies explicitly. Robot bridges may actuate hardware; no hardware execution is established. Asset, model, SDK and data terms remain separate."
}

Explicit compatibility

[]

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

Evidence

Level: source_reviewed; runtime verification: not_run.

Fetched and SHA-256 checked this immutable source; statically parsed Python or located native main; verified pinned license bytes and checked explicit per-file license identifiers. No upstream code executed.

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