Towards Human Engagement with Realistic AI Combat Pilots
Selmonaj, Ardian, Del Rio, Giacomo, Schneider, Adrian, Antonucci, Alessandro
–arXiv.org Artificial Intelligence
We present a system that enables real-time interaction between human users and agents trained to control fighter jets in simulated 3D air combat scenarios. The agents are trained in a dedicated environment using Multi-Agent Reinforcement Learning. A communication link is developed to allow seamless deployment of trained agents into VR-Forces, a widely used defense simulation tool for realistic tactical scenarios. This integration allows mixed simulations where human-controlled entities engage with intelligent agents exhibiting distinct combat behaviors. Our interaction model creates new opportunities for human-agent teaming, immersive training, and the exploration of innovative tactics in defense contexts.
arXiv.org Artificial Intelligence
Oct-1-2025
- Country:
- North America > United States (0.47)
- Genre:
- Research Report (0.40)
- Industry:
- Government > Military > Air Force (0.86)
- Technology: