AINeutralarXiv – CS AI · 14h ago6/10
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Crafting Desirable Climate Trajectories with RL Explored Socio-Environmental Simulations
Researchers propose using reinforcement learning agents to improve Integrated Assessment Models (IAMs) that simulate climate policy outcomes, finding that cooperative agents can identify pathways to reduced emissions but competitive dynamics consistently fail to reach desirable climate futures, highlighting the need for better modeling of real-world stakeholder conflicts.