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MARL Infiltration Risk Assessment Model

A Multi-Agent Reinforcement Learning (MARL) model for infiltration risk assessment in security scenarios.

Preview

  • Multi-agent architecture: Defender and adversary agents
  • Enhanced Data: Synthetic scenarios LLM-enhanced (should be real historical data for production use)
  • Features: Terrain, weather, target types, infiltration methods, and countermeasures, etc

Training Metrics

  • Python: 3.8+
  • Dependencies: PyTorch 2.0+, NumPy, Matplotlib
  • Hardware: CPU compatible, GPU recommended

Citation

@software{marl_infiltration_risk_model,
  author = {Isildur},
  title = {MARL Infiltration Mission Risk Assessment Model},
  year = {2025},
  url = {https://huggingface.co/spatial-ai/marl-infiltration-risk}
}
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