robomimic: Instructional BC-RNN training

Train a BC-RNN policy using an instructional script that sets portions of the configuration directly in Python. Inspect the pinned source and setup before use.

robomimic-examples-train-bc-rnn-py | Record version: source-9a897483f26cec16e71e146f67a3b07b3471d3a7cedc1ef147cb2d77e9eb6743

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/ARISE-Initiative/robomimic
Revision: d309eaecc18acf4152a830a895a6984b8ac71b05
Path: examples/train_bc_rnn.py
Source SHA256: 9a897483f26cec16e71e146f67a3b07b3471d3a7cedc1ef147cb2d77e9eb6743
Original authors: Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Matthew Bronars, Vaibhav Saxena
License: MIT
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: 7cdbfab482b23a4d925d59ff169ab0bc5f8c97ceb0db79f9fd5bf46ef8aa1556
Hub commit: 1d6d9eb134e397d910265a8d6e7d8f257f9e8d7f

Artifact

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

Requirements

{
  "python": "Python >=3 as declared by pinned setup.py; follow the pinned installation guide for its supported environment",
  "packages": [
    "Pinned robomimic checkout",
    "PyTorch, h5py and dependencies declared by pinned setup.py",
    "Matching robosuite/MuJoCo environment when the selected workflow uses simulation"
  ],
  "display": "Training/evaluation requires an explicitly selected policy configuration, compatible HDF5 demonstration dataset and, for rollout evaluation, the matching simulator and checkpoint. Dataset tools may modify HDF5 files in place.",
  "execution_domain": "computation",
  "source_imports": [
    "argparse",
    "robomimic",
    "robomimic.config",
    "robomimic.macros",
    "robomimic.scripts.train",
    "robomimic.utils.test_utils",
    "robomimic.utils.torch_utils"
  ]
}

Invocation

{
  "entrypoint": "python examples/train_bc_rnn.py",
  "notes": "Follow pinned robomimic setup and provide the required --config/--algo, dataset, checkpoint and environment options for this script. Conversion and split tools may modify the input dataset; review their source first. The example training loops are instructional; no policy performance or robot compatibility has been measured."
}

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.