Mathematical modelling of adaptive fisheries management using reinforcement learning

Key Points

• To explore how mathematical modeling and reinforcement learning can enhance adaptive fisheries management.
• Developed mathematical models for fisheries management.
• Utilized reinforcement learning algorithms to simulate different management strategies.
• Analyzed the impacts on fish populations and sustainability.
• Demonstrated significant improvements in population sustainability under adaptive management.
• Reinforcement learning led to more effective policy recommendations for fisheries.
• Models indicated higher yields with reduced ecological impact.