A Q-learning approach to planning a sustainable food manufacturing system

Key Points

• The study explores q-learning for optimizing food manufacturing sustainability, highlighting potential efficiency gains.
• The main outcome showcases improved planning strategies that can lead to more sustainable practices in food production.
• Observational analysis examines systems through a sustainable lens, utilizing innovative q-learning techniques.
• This model may enable better resource management in food manufacturing, but practical application needs further exploration.