Retro-engineering the US tariffs formula with deep reinforcement learning 👀
Follow to learn more about automated equation discovery ! ⚙️
Can AI guess the trade tariff formula just by looking at the data? 👀
Here’s Φ-SO - the Physical Symbolic Optimization algorithm - rediscovering the tariff law implemented in the US — directly from data.
No prior knowledge. Just learning patterns.
Φ-SO uses deep reinforcement learning to discover interpretable symbolic equations from data by trial-and-error — equations that make sense to humans.
In this case, it reverse-engineers the tariff formula from trade data alone.
More than curve-fitting, Φ-SO searches in the space of mathematical expressions themselves - guided by a neural policy and physical priors (e.g. units, symmetries).
It’s already been used in physics, cosmo, biology, aero/hydro sims — and now, economics!
For more details, have a look at the paper or the code! :)
code: github.com/WassimTenachi/PhySO
paper: arxiv.org/abs/2303.03192
tariffs demo: /demos/sr/demo_usa_tariffs
Видео Retro-engineering the US tariffs formula with deep reinforcement learning 👀 канала Wassim Tenachi
Can AI guess the trade tariff formula just by looking at the data? 👀
Here’s Φ-SO - the Physical Symbolic Optimization algorithm - rediscovering the tariff law implemented in the US — directly from data.
No prior knowledge. Just learning patterns.
Φ-SO uses deep reinforcement learning to discover interpretable symbolic equations from data by trial-and-error — equations that make sense to humans.
In this case, it reverse-engineers the tariff formula from trade data alone.
More than curve-fitting, Φ-SO searches in the space of mathematical expressions themselves - guided by a neural policy and physical priors (e.g. units, symmetries).
It’s already been used in physics, cosmo, biology, aero/hydro sims — and now, economics!
For more details, have a look at the paper or the code! :)
code: github.com/WassimTenachi/PhySO
paper: arxiv.org/abs/2303.03192
tariffs demo: /demos/sr/demo_usa_tariffs
Видео Retro-engineering the US tariffs formula with deep reinforcement learning 👀 канала Wassim Tenachi
AI economics symbolic regression machine learning deep learning reinforcement learning interpretable AI equation discovery trade data tariff formula AI in economics scientific machine learning AI for science explainable AI physical symbolic optimization data-driven tariffs USA Trump China United States
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9 апреля 2025 г. 1:54:43
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