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Ep. 167: Are games the key to building AGI? | Julian Togelius

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Julian Togelius is an associate professor of computer science at New York University. His research lies at the intersection between computational intelligence and games, and he is currently focused on using evolutionary algorithms to generate levels, maps, or game rules. In addition, he has worked on a wide variety of problems related to evolutionary reinforcement learning, and he is the author of a forthcoming book on artificial general intelligence through MIT.

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170 episode

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iconBagikan
 
Manage episode 439063607 series 2824460
Konten disediakan oleh Thomas Frey. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Thomas Frey atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

Julian Togelius is an associate professor of computer science at New York University. His research lies at the intersection between computational intelligence and games, and he is currently focused on using evolutionary algorithms to generate levels, maps, or game rules. In addition, he has worked on a wide variety of problems related to evolutionary reinforcement learning, and he is the author of a forthcoming book on artificial general intelligence through MIT.

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

170 episode

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