AI-Driven Aerial Firefighting: A Study in High-Fidelity Modeling and Reinforcement Learning

This research explores the application of AI, specifically reinforcement learning, to optimize aerial firefighting strategies using high-fidelity digital models. The focus on perfect information, while a simplification, allows for a controlled environment to evaluate the efficacy of the proposed approach.

• •Applies reinforcement learning to a complex, real-world problem.
• •Uses high-fidelity digital models for simulation.
• •Provides a case study in aerial firefighting.