VBAF v3.0.0 — Reinforcement Learning engine in pure PS 5.1, now with Enterprise Automation pillars

1

Hi all,

I wanted to share VBAF v3.0.0 with this community since it’s built entirely on PS 5.1 fundamentals.

VBAF implements Deep Q-Networks (DQN), PPO, A3C and classic Q-Learning from scratch — no external ML libraries, just PowerShell classes and hashtables.

Phase 9 adds Enterprise Automation pillars that connect to real Windows APIs:

  • VBAF.Enterprise.JobScheduler.ps1 — Get-ScheduledTask integration
  • VBAF.Enterprise.ResourceOptimizer.ps1 — Get-Counter live metrics
  • VBAF.Enterprise.AlertRouter.ps1 — Get-WinEvent log reading
  • VBAF.Enterprise.SupplyChain.ps1 — multi-agent decisions

Two loaders available:

  • VBAF.LoadAll.ps1 — full Enterprise engine
  • VBAF.LoadCore.ps1 — pure algorithms only

Install-Module VBAF
GitHub: GitHub - JupyterPS/VBAF: Visual Business Automation Framework - PowerShell-based reinforcement learning for education and business automation · GitHub

Happy to discuss any of the PS 5.1 implementation challenges — there were many!