Economic growth and carbon neutrality balancing: an optimal decision-making framework for emission reduction policies driven by reinforcement learning

Key Points

• The research aims to develop an optimal decision-making framework for emission reduction policies that balances economic growth and carbon neutrality.
• Utilized reinforcement learning to design the decision-making framework.
• Incorporated data on economic growth and emissions for policy testing.
• Analyzed the effectiveness of different emission reduction strategies.
• Developed a framework that effectively balances economic growth with carbon neutrality goals.
• Identified key policy levers that maximize both economic and environmental benefits.