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Second paper from @NYUGameLab at @ieee_cog being presented right now by @Smearle_RH (with @jzh_000 and myself). We take the Procedural Content Generation via Reinforcement Learning idea in new directions, to make it faster, more scalable, and work on challenging problem.
It's here! 🏰🎮🦠🌐 The Amorphous Fortress Online system is finally ready! Play and design ASCII-style AI and game environments right in your browser. You can make almost anything into a game or simulation -- seriously anything!
📚 Just published: Impacts of census differential privacy for small-area disease mapping to monitor health inequities via @ScienceAdvances @HarvardChanSPH @EmoryBIOS @uscensusbureau science.org/doi/full/10.11…
We will be showcasing our new paper controllable path of destruction in @ieee_cog We discovered that with a small dataset we can generate new content for Lego. This work is done by @MatthewSiper @togelius @Smearle_RH @jzh_000 and I
In "Controllable Path of Destruction", we extend the Path of Destruction (PoD) algorithm to be controllable along various spatial metrics in 2D and 3D. We show the efficiency of the PoD algorithm via its ability to generate 3D lego cars from a dataset of only 15 examples.
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