Leveraging Deep Reinforcement Learning to Optimize Firebreak Placement for Effective Forest Fire Prevention

Deep Reinforcement Learning techniques, including Deep Q-Learning, Double Deep Q-Learning, and Dueling Double Deep Q-Learning, can be effectively applied to optimize the placement of firebreaks in forest landscapes, significantly improving fire prevention and management.