VBAF

1.0.0

Visual Business Automation Framework (VBAF) - A PowerShell-based AI/RL platform.

VBAF combines neural networks, reinforcement learning, and visual dashboards to create
adaptive automation solutions. Built entirely in PowerShell 5.1 from scratch.

Features:
- Neural networks with backpropagation (solve XOR and beyond)
- Q-Learning agents with experience replay
- Multi
Visual Business Automation Framework (VBAF) - A PowerShell-based AI/RL platform.

VBAF combines neural networks, reinforcement learning, and visual dashboards to create
adaptive automation solutions. Built entirely in PowerShell 5.1 from scratch.

Features:
- Neural networks with backpropagation (solve XOR and beyond)
- Q-Learning agents with experience replay
- Multi-agent reinforcement learning systems
- Real-time learning visualization dashboards
- Business simulation environments
- Generative art with aesthetic rewards
- Comprehensive examples and documentation

Perfect for:
- Learning AI/ML concepts hands-on
- Building adaptive automation workflows
- Multi-agent simulations
- Intelligent business process automation
- Generative/creative applications

Unique Position: PowerShell 5.1 + AI + RL + Visual + Business
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Minimum PowerShell version

5.1

Installation Options

Copy and Paste the following command to install this package using PowerShellGet More Info

Install-Module -Name VBAF -RequiredVersion 1.0.0

Copy and Paste the following command to install this package using Microsoft.PowerShell.PSResourceGet More Info

Install-PSResource -Name VBAF -Version 1.0.0

You can deploy this package directly to Azure Automation. Note that deploying packages with dependencies will deploy all the dependencies to Azure Automation. Learn More

Manually download the .nupkg file to your system's default download location. Note that the file won't be unpacked, and won't include any dependencies. Learn More

Owners

Copyright

(c) 2025 Henning. All rights reserved.

Package Details

Author(s)

  • Henning

Tags

AI MachineLearning ReinforcementLearning NeuralNetwork QLearning MultiAgent Automation Visualization Business Simulation GenerativeArt Dashboard PowerShell Education FromScratch

Functions

New-VBAFNeuralNetwork Train-VBAFNeuralNetwork Test-VBAFNeuralNetwork Export-VBAFNeuralNetwork Import-VBAFNeuralNetwork New-VBAFAgent Train-VBAFAgent Get-VBAFAgentStats Export-VBAFAgent Import-VBAFAgent New-VBAFMarket Start-VBAFMarketSimulation Get-VBAFMarketStats New-VBAFDashboard Show-VBAFLearningCurve Show-VBAFNetworkStructure Start-VBAFCastleCompetition New-VBAFAestheticReward Get-VBAFVersion Get-VBAFExamples Test-VBAF

PSEditions

Desktop

Dependencies

This module has no dependencies.

Release Notes

## Version 1.0.0 (January 2025)

### Initial Release - Foundation Complete!

**Core Features:**
- Multi-layer neural networks with backpropagation
- Q-Learning agents with epsilon-greedy exploration
- Experience replay for stable learning
- Real-time visualization dashboards

**Components:**
- Core neural network primitives (Neuron, Layer, Activation)
- RL agents (Q-Learning, Experience Replay, Q-Table)
- Business simulation (CompanyAgent, MarketEnvironment)
- Generative art (Castle Competition, Aesthetic Rewards)
- Visualization (Learning Dashboard, Graph Renderer, Metrics Collector)

**Examples:**
- XOR problem solver (neural network demo)
- Castle Q-Learning agent (generative RL)
- Multi-agent market simulation (business)
- 3-agent castle competition (emergent coordination)
- Validation dashboard (foundation proof)

**Documentation:**
- Complete API reference
- Getting started guide
- Theory explanations
- Multiple working examples

**Tested On:**
- PowerShell 5.1 (Windows PowerShell)
- Windows 10/11

**What's Next:**
- Advanced RL algorithms (PPO, A3C, SAC)
- Computer vision extensions (CNN)
- NLP integration
- Additional case studies

FileList

Version History

Version Downloads Last updated
1.0.1 2 2/5/2026
1.0.0 (current version) 2 2/4/2026