| name | training-pipeline |
| description | Index skill for VBot quadruped RL training. Routes to specialized skills for curriculum learning, hyperparameter optimization, reward/penalty engineering, and campaign management. |
Purpose
Entry point for RL training tasks. Routes to specialized skills.
0. Check AutoML and Run Directories
# 1. List all AutoML runs and their outcomes
Get-ChildItem starter_kit_log/automl_* -Directory | ForEach-Object {
Write-Host "`n=== $($_.Name) ===" -ForegroundColor Cyan
$state = Join-Path $_.FullName "state.yaml"
if (Test-Path $state) { Get-Content $state | Select-Object -First 30 }
}
# 2. Check current automl progress state
if (Test-Path starter_kit_schedule/progress/automl_state.yaml) {
Get-Content starter_kit_schedule/progress/automl_state.yaml
}
# 3. Read task-specific reference (reward scales, search spaces, terrain, etc.)
Get-Content starter_kit_docs/<task-name>/Task_Reference.md
# 4. List training runs and their timestamps
Get-ChildItem runs/<env-name>/ -Directory | Sort-Object Name -Descending | Select-Object -First 10
# 4. Review reward library for tried components
Get-ChildItem starter_kit_schedule/reward_library/ -Recurse -Filter "*.yaml" -ErrorAction SilentlyContinue
# 5. Check WAKE_UP.md if progress_watcher was running
if (Test-Path starter_kit_schedule/progress/WAKE_UP.md) {
Get-Content starter_kit_schedule/progress/WAKE_UP.md
}
What to look for:
- Best reward/composite score achieved so far
- Which HP configurations worked best
- Known failure modes already diagnosed
- Whether anti-laziness mechanisms are active in the current code
Only after reviewing, proceed to Quick Start commands below.
Quick Start — Just Run Training
🔴 AutoML-First Policy (MANDATORY): See .github/copilot-instructions.md for the full policy.
NEVER use for parameter exploration — use batch search.
is ONLY for: smoke tests (<500K steps), visual debug, or final deployment runs with known-good config.
