A Q-learning approach to waste rock reduction in open-pit mine design based on cleaner production principles

Key Points

• Optimization of waste rock reduction improves efficiency in mining operations, leading to cleaner production.
• Key evidence shows a significant reduction in waste rock through a q-learning algorithm, enhancing sustainability.
• Analysis of simulation data illustrates a q-learning approach applied to open-pit mine design for reduced waste.
• This approach may enable more sustainable mining practices; further validation in real-world scenarios is needed.