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