Navigating Social Dilemmas with AI

This chapter explores the complexities of applying policy methods in addressing global challenges like climate change and vaccination through cooperative problem-solving. It discusses the role of reinforcement learning and modeling human behavior to enhance agent collaboration in multi-agent systems. The conversation highlights advancements in model-based reinforcement learning and its applications, including improvements in traffic control systems and the need for robust, safe autonomous technologies.