[05] Julian Togelius - Computational Intelligence And Games The Thesis Review podcast

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Science Thesis Review Sean Welleck

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[05] Julian Togelius - Computational Intelligence and Games

4+ y ago 1:12:06

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Indhold leveret af The Thesis Review and Sean Welleck. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af The Thesis Review and Sean Welleck eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Julian Togelius is an Associate Professor at New York University, where he co-directs the NYU Game Innovation Lab. His research is at the intersection of computational intelligence and computer games. His PhD thesis is titled "Optimization, Imitation, and Innovation: Computational Intelligence and Games", which he completed in 2007. We cover his work in the thesis on AI for games and games for AI, and how it connects to his recent work on procedural content generation. Episode notes: https://cs.nyu.edu/~welleck/episode5.html Follow the Thesis Review (@thesisreview) and Sean Welleck (@wellecks) on Twitter, and find out more info about the show at https://cs.nyu.edu/~welleck/podcast.html Support The Thesis Review at https://www.buymeacoffee.com/thesisreview

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49 episoder

#Science #Thesis Review #Sean Welleck

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[05] Julian Togelius - Computational Intelligence and Games

The Thesis Review

published 4+ y ago

Del

MP3•Episode hjem

Indhold leveret af The Thesis Review and Sean Welleck. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af The Thesis Review and Sean Welleck eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Julian Togelius is an Associate Professor at New York University, where he co-directs the NYU Game Innovation Lab. His research is at the intersection of computational intelligence and computer games. His PhD thesis is titled "Optimization, Imitation, and Innovation: Computational Intelligence and Games", which he completed in 2007. We cover his work in the thesis on AI for games and games for AI, and how it connects to his recent work on procedural content generation. Episode notes: https://cs.nyu.edu/~welleck/episode5.html Follow the Thesis Review (@thesisreview) and Sean Welleck (@wellecks) on Twitter, and find out more info about the show at https://cs.nyu.edu/~welleck/podcast.html Support The Thesis Review at https://www.buymeacoffee.com/thesisreview

… continue reading

49 episoder

#Science #Thesis Review #Sean Welleck

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