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The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies
[article]
2020
arXiv
pre-print
Tackling real-world socio-economic challenges requires designing and testing economic policies. However, this is hard in practice, due to a lack of appropriate (micro-level) economic data and limited opportunity to experiment. In this work, we train social planners that discover tax policies in dynamic economies that can effectively trade-off economic equality and productivity. We propose a two-level deep reinforcement learning approach to learn dynamic tax policies, based on economic
arXiv:2004.13332v1
fatcat:aosl2nbfhnczzndltnlsp2dxl4