The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=v-gn4oMObi4


Duration: 1:06:37
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For slides and more information on the paper, visit https://ai.science/e/the-ai-economist-improving-equality-and-productivity-with-ai-driven-tax-policies--psF5oVXH2m3zKCPnv6r7

Speaker: Stephan Zheng; Host: Jiri Stodulka, Susan Shu Chang

Motivation:
The authors extend Reinforcement Learning to tackle economic inequality through learned tax policy design. Our framework optimizes productivity and equality, even when RL agents game taxes. This is a hard two-level RL problem: taxes affect agent rewards, so agents and social planners need to constantly adapt.



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