Neuroevolution

Results: 114



#Item
1Searching for Surprise Georgios N. Yannakakis and Antonios Liapis Institute of Digital Games, University of Malta, Msida, Malta {georgios.yannakakis; antonios.liapis}@um.edu.mt  Abstract

Searching for Surprise Georgios N. Yannakakis and Antonios Liapis Institute of Digital Games, University of Malta, Msida, Malta {georgios.yannakakis; antonios.liapis}@um.edu.mt Abstract

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Source URL: antoniosliapis.com

Language: English - Date: 2016-05-28 08:09:51
2Sentient Sketchbook: Computer-Aided Game Level Authoring Antonios Liapis Georgios N. Yannakakis

Sentient Sketchbook: Computer-Aided Game Level Authoring Antonios Liapis Georgios N. Yannakakis

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Source URL: antoniosliapis.com

Language: English - Date: 2014-12-01 05:18:59
3Sentient World: Human-Based Procedural Cartography An Experiment in Interative Sketching and Iterative Refining Antonios Liapis1 , Georgios N. Yannakakis1,2 , and Julian Togelius1 1  Center for Computer Games Research

Sentient World: Human-Based Procedural Cartography An Experiment in Interative Sketching and Iterative Refining Antonios Liapis1 , Georgios N. Yannakakis1,2 , and Julian Togelius1 1 Center for Computer Games Research

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Source URL: antoniosliapis.com

Language: English - Date: 2014-12-01 05:19:04
4Optimizing Visual Properties of Game Content Through Neuroevolution Antonios Liapis and Georgios N. Yannakakis and Julian Togelius Center for Computer Games Research Rued Langaards VejCopenhagen, Denmark

Optimizing Visual Properties of Game Content Through Neuroevolution Antonios Liapis and Georgios N. Yannakakis and Julian Togelius Center for Computer Games Research Rued Langaards VejCopenhagen, Denmark

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Source URL: antoniosliapis.com

Language: English - Date: 2015-08-05 06:14:48
5The Case for a Mixed-Initiative Collaborative Neuroevolution Approach Sebastian Risi, Jinhong Zhang, Rasmus Taarnby, Peter Greve, Jan Piskur, Antonios Liapis, Julian Togelius IT University Copenhagen, 2300 Copenhagen, De

The Case for a Mixed-Initiative Collaborative Neuroevolution Approach Sebastian Risi, Jinhong Zhang, Rasmus Taarnby, Peter Greve, Jan Piskur, Antonios Liapis, Julian Togelius IT University Copenhagen, 2300 Copenhagen, De

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Source URL: antoniosliapis.com

Language: English - Date: 2015-07-30 03:57:36
    6IEEE T-CIAIG SPECIAL ISSUE ON COMPUTATIONAL AESTHETICS IN GAMES  1 Adapting Models of Visual Aesthetics for Personalized Content Creation

    IEEE T-CIAIG SPECIAL ISSUE ON COMPUTATIONAL AESTHETICS IN GAMES 1 Adapting Models of Visual Aesthetics for Personalized Content Creation

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    Source URL: antoniosliapis.com

    Language: English - Date: 2016-02-21 05:56:54
    7Evolving Neural Networks in Compressed Weight Space Jan Koutník Faustino Gomez  Jürgen Schmidhuber

    Evolving Neural Networks in Compressed Weight Space Jan Koutník Faustino Gomez Jürgen Schmidhuber

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    Source URL: people.idsia.ch

    Language: English - Date: 2011-08-17 13:32:43
    8Visual Control in Quake II with a Cyclic Controller Matt Parker and Bobby D. Bryant Abstract— A cyclic controller is evolved in the first person shooter computer game Quake II, to learn to attack a randomly moving enem

    Visual Control in Quake II with a Cyclic Controller Matt Parker and Bobby D. Bryant Abstract— A cyclic controller is evolved in the first person shooter computer game Quake II, to learn to attack a randomly moving enem

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    Source URL: www.csse.uwa.edu.au

    Language: English - Date: 2009-02-05 01:17:42
    9Transfer of Evolved Pattern-Based Heuristics in Games Erkin Bahc¸eci and Risto Miikkulainen Abstract— Learning is key to achieving human-level intelligence. Transferring knowledge that is learned on one task to anothe

    Transfer of Evolved Pattern-Based Heuristics in Games Erkin Bahc¸eci and Risto Miikkulainen Abstract— Learning is key to achieving human-level intelligence. Transferring knowledge that is learned on one task to anothe

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    Source URL: www.csse.uwa.edu.au

    Language: English - Date: 2009-02-05 01:17:41
    10Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCONew York, NY: ACM Nominated for Best Paper Aw

    Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCONew York, NY: ACM Nominated for Best Paper Aw

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    Source URL: eplex.cs.ucf.edu

    Language: English - Date: 2016-04-28 14:32:32