The Giant in Spring Canyon Park

but developers struggled to have something solid out in time.

Looking at how people use RL to train systems to play some types of video games or chess.What do we need to do this? Its food for thought for the economics community.

because data can be used to inform how the simulation works.I think really the opportunity here is for AI researchers to work together with economists.they might say that the world is more or less the same every year.

the AI Economist team has open-sourced all the code and experimental data based on the research.somebody gives you a static data set.

Another part of the way forward for the AI Economist team is more outreach to the economist community.

It means that a lot of these methods dont really find the best policy if you consider the world in its full richness if you look at all the ways in which the world can change around you.referring to the various open-source development libraries built by Meta and Google and others.

is aligned much more so to that kind of sparse.straining the capabilities of compute.

Is it just matrix multiplication.theres some piece thats missing — I know this.