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by RichardSocher on 2020-04-29 (UTC).

Excited to introduce the AI Economist: Extends ideas from Reinforcement Learning for tackling inequality through learned tax policy design.
The framework optimizes productivity and equality.
Blog: https://t.co/5xferEiUkg
Paper: https://t.co/CEbX79SROD
Q&A: https://t.co/kzSrlMCvM7 pic.twitter.com/hDYOM4F2iG

— Richard Socher (@RichardSocher) April 29, 2020
researchrl
by hardmaru on 2020-04-30 (UTC).

Using pure simulation and data-driven approach to the design of optimal tax policies. Both workers (agent) and the policy maker (environment) are RL agents optimizing for different things.

Reminds me of Jay Forrester's work on System Dynamics (his ideas are used to make SimCity) https://t.co/8Nqut1sWkb pic.twitter.com/eT4ZwO7h1U

— hardmaru (@hardmaru) April 30, 2020
researchrl
by dennybritz on 2020-05-01 (UTC).

It’s just a matter of time before we see “The AI Economist adversary: Using RL to find optimal tax evasion policies”

— Denny Britz (@dennybritz) May 1, 2020
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