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

Understand

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 simulations in which both agents and a government learn and adapt.