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Ep. 167: Are games the key to building AGI? | Julian Togelius
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コンテンツは Thomas Frey によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Thomas Frey またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.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.
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Manage episode 439063607 series 2824460
コンテンツは Thomas Frey によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Thomas Frey またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.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
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