Workflow Templates (AzureML)

Canonical AzureML workflow templates for RL and LeRobot training and evaluation. Template names, defaults, and paths in this page are derived from the YAML files in training/ and evaluation/.

Template Inventory

Template	Purpose	Source YAML path	Typical submit path
train.yaml	IsaacLab RL training job structure	training/rl/workflows/azureml/train.yaml	training/rl/scripts/submit-azureml-training.sh
lerobot-train.yaml	LeRobot behavioral cloning training job structure	training/il/workflows/azureml/lerobot-train.yaml	training/il/scripts/submit-azureml-lerobot-training.sh
validate.yaml	IsaacLab policy validation against registered models	evaluation/sil/workflows/azureml/validate.yaml	evaluation/sil/scripts/submit-azureml-validation.sh
lerobot-eval.yaml	LeRobot policy evaluation and optional model registration	evaluation/sil/workflows/azureml/lerobot-eval.yaml	evaluation/sil/scripts/submit-azureml-lerobot-eval.sh

train.yaml

Field	Details
Purpose	Structural template for IsaacLab RL training submissions in AzureML.
Source YAML path	training/rl/workflows/azureml/train.yaml
Primary parameters and overrides	inputs.task (Isaac-Velocity-Rough-Anymal-C-v0), inputs.num_envs ("2048"), inputs.max_iterations ("600"), inputs.checkpoint_mode (from-scratch), inputs.checkpoint_uri (none), inputs.register_checkpoint (none), inputs.run_azure_smoke_test ("false").
Typical submit path	training/rl/scripts/submit-azureml-training.sh
Usage notes	Keep template values as structural defaults. The submit script sets runtime command, compute, and Azure context.

lerobot-train.yaml

Field	Details
Purpose	Structural template for LeRobot ACT or Diffusion training on AzureML.
Source YAML path	training/il/workflows/azureml/lerobot-train.yaml
Primary parameters and overrides	inputs.dataset_repo_id (none), inputs.policy_type (act), inputs.job_name (lerobot-act-training), inputs.output_dir (/workspace/outputs/train), inputs.training_steps (none), inputs.batch_size (none), inputs.eval_freq (none), inputs.save_freq ("5000"), inputs.register_checkpoint (none).
Typical submit path	training/il/scripts/submit-azureml-lerobot-training.sh
Usage notes	Use script flags for policy source and hyperparameters. Secrets such as HuggingFace and WANDB values are injected at submission time.

validate.yaml

Field	Details
Purpose	Structural template for IsaacLab validation jobs against registered models.
Source YAML path	evaluation/sil/workflows/azureml/validate.yaml
Primary parameters and overrides	inputs.trained_model.path (azureml:placeholder:1), inputs.task (auto), inputs.framework (auto), inputs.eval_episodes (100), inputs.num_envs (64), inputs.success_threshold (-1.0).
Typical submit path	evaluation/sil/scripts/submit-azureml-validation.sh
Usage notes	The script resolves model metadata and passes overrides with --set. The template intentionally uses sentinel defaults (auto, placeholder paths).

lerobot-eval.yaml

Field	Details
Purpose	Structural template for LeRobot evaluation and optional model registration on AzureML.
Source YAML path	evaluation/sil/workflows/azureml/lerobot-eval.yaml
Primary parameters and overrides	inputs.policy_repo_id (none), inputs.policy_type (act), inputs.dataset_repo_id (none), inputs.eval_episodes ("10"), inputs.eval_batch_size ("10"), inputs.record_video ("false"), inputs.mlflow_enable ("false"), inputs.register_model (none), inputs.blob_storage_container (datasets).
Typical submit path	evaluation/sil/scripts/submit-azureml-lerobot-eval.sh
Usage notes	This template is the canonical AzureML LeRobot evaluation reference.

Usage Notes

Topic	Guidance
Source of truth	Use YAML files in training/ and evaluation/ for template names, keys, and defaults.
Override pattern	Treat templates as structure-first; submission scripts provide runtime command and environment-specific values.
Azure context	Set subscription_id, resource_group, and workspace_name through script options or environment variables.
Related reference	See Reference index for adjacent script and artifact guides.