Vanessa Volz

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Boris NaujoksCologne University of Applied SciencesEmail yang diverifikasi di fh-koeln.de
Simon LucasProfessor of Artificial Intelligence, Queen Mary University of LondonEmail yang diverifikasi di qmul.ac.uk
Sebastian RisiProfessor, IT University of CopenhagenEmail yang diverifikasi di itu.dk
Jacob SchrumSouthwestern UniversityEmail yang diverifikasi di southwestern.edu
Jialin LiuTenure-Track Associate Professor, Lingnan University (Hong Kong)Email yang diverifikasi di ln.edu.hk
Mike PreussUniversiteit LeidenEmail yang diverifikasi di liacs.leidenuniv.nl
Pascal KerschkeProfessor of Big Data Analytics in Transportation, TU Dresden, and ScaDS.AIEmail yang diverifikasi di tu-dresden.de
Diego Perez-LiebanaQueen Mary University of LondonEmail yang diverifikasi di qmul.ac.uk
Adam M. SmithUniversity of California, Santa CruzEmail yang diverifikasi di ucsc.edu
Tea TušarSenior Research Associate, Jožef Stefan InstituteEmail yang diverifikasi di ijs.si
Ivan BraviQueen Mary University of LondonEmail yang diverifikasi di qmul.ac.uk
Günter RudolphProfessor in Computer Science, TU Dortmund UniversityEmail yang diverifikasi di tu-dortmund.de
Thomas Bartz-BeielsteinTH Koeln, Institute for Data Science, Engineering, and AnalyticsEmail yang diverifikasi di th-koeln.de
Raluca D. GainaQueen Mary University of London, UKEmail yang diverifikasi di qmul.ac.uk
Nicolas Pflanzlviadee UnternehmensberatungEmail yang diverifikasi di viadee.de
Julian TogeliusAssociate Professor of Computer Science and Engineering, New York University; co-founder, modl.aiEmail yang diverifikasi di nyu.edu
Florian StahlResearch Assistant, ERCISEmail yang diverifikasi di ercis.de
Gottfried VossenProfessor of Computer Science, University of Muenster, GermanyEmail yang diverifikasi di wwu.de
Simon ColtonProf. Computational Creativity at Queen Mary University of London, UK & Monash University, AustraliaEmail yang diverifikasi di qmul.ac.uk
Richard NilandComputer Science student, TU Dortmund UniversityEmail yang diverifikasi di udo.edu

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Vanessa Volz

Centrum Wiskunde & Informatica (CWI)

Email yang diverifikasi di cwi.nl - Beranda

Computational Intelligence in Games Surrogate-assisted Evolutionary Algorithms Multi-Objective


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Evolving mario levels in the latent space of a deep convolutional generative adversarial network V Volz, J Schrum, J Liu, SM Lucas, A Smith, S Risi Proceedings of the Genetic and Evolutionary Computation Conference, 221-228, 2018	311	2018
Benchmarking in optimization: Best practice and open issues T Bartz-Beielstein, C Doerr, D Berg, J Bossek, S Chandrasekaran, ... arXiv preprint arXiv:2007.03488, 2020	161	2020
Interactive evolution and exploration within latent level-design space of generative adversarial networks J Schrum, J Gutierrez, V Volz, J Liu, S Lucas, S Risi Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 148-156, 2020	67	2020
Tile Pattern KL-Divergence for Analysing and Evolving Game Levels SM Lucas, V Volz Proceedings of the Genetic and Evolutionary Computation Conference, 170-178, 2019	63	2019
Demonstrating the feasibility of automatic game balancing V Volz, G Rudolph, B Naujoks Proceedings of the Genetic and Evolutionary Computation Conference 2016, 269-276, 2016	62	2016
CPPN2GAN: Combining compositional pattern producing networks and gans for large-scale pattern generation J Schrum, V Volz, S Risi Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 139-147, 2020	39	2020
Single-and multi-objective game-benchmark for evolutionary algorithms V Volz, B Naujoks, P Kerschke, T Tušar Proceedings of the Genetic and Evolutionary Computation Conference, 647-655, 2019	32	2019
An Integrated process for game balancing M Beyer, A Agureikin, A Anokhin, C Laenger, F Nolte, J Winterberg, ... Computational Intelligence and Games (CIG), 2016 IEEE Conference on, 459-466, 2016	32	2016
MCTS/EA hybrid GVGAI players and game difficulty estimation H Horn, V Volz, D Pérez-Liébana, M Preuss Computational Intelligence and Games (CIG), 2016 IEEE Conference on, 278-285, 2016	29	2016
Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems K van der Blom, TM Deist, T Tušar, M Marchi, Y Nojima, A Oyama, V Volz, ... Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020	27*	2020
Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best SM Lucas, J Liu, I Bravi, RD Gaina, J Woodward, V Volz, D Perez-Liebana 2019 AAAI workshop on Games and Simulations for Artificial Intelligence, 2019	23	2019
A Local Approach to Forward Model Learning: Results on the Game of Life Game SM Lucas, A Dockhorn, V Volz, C Bamford, RD Gaina, I Bravi, ... Conference on games (CoG), 140-147, 2019	22	2019
Investigating uncertainty propagation in surrogate-assisted evolutionary algorithms V Volz, G Rudolph, B Naujoks Proceedings of the Genetic and Evolutionary Computation Conference, 881-888, 2017	17	2017
Capturing local and global patterns in procedural content generation via machine learning V Volz, N Justesen, S Snodgrass, S Asadi, S Purmonen, C Holmgård, ... 2020 IEEE Conference on Games (CoG), 399-406, 2020	16	2020
Learning Local Forward Models on Unforgiving Games A Dockhorn, SM Lucas, V Volz, I Bravi, RD Gaina, D Perez-Liebana Conference on games (CoG), 159-162, 2019	15	2019
Integrated Balancing of an RTS Game: Case Study and Toolbox Refinement M Preuss, T Pfeiffer, V Volz, N Pflanzl 2018 IEEE Conference on Computational Intelligence and Games (CIG), 205-212, 2018	14	2018
Analysing observable success and activity indicators on crowdfunding platforms J Lechtenbörger, F Stahl, V Volz, G Vossen International Journal of Web Based Communities 11 (3-4), 264-289, 2015	14	2015
Uncertainty Handling in Surrogate Assisted Optimisation of Games: Dissertation Abstract V Volz KI-Künstliche Intelligenz 34 (1), 95-99, 2020	11	2020
Measuring strategic depth in games using hierarchical knowledge bases D Apeldoorn, V Volz Computational Intelligence and Games (CIG), 2017 IEEE Conference on, 9-16, 2017	11	2017
Gameplay Evaluation Measures V Volz, D Ashlock, S Colton, S Dahlskog, J Liu, SM Lucas, ... Dagstuhl Reports (Seminar 27471) 7 (11), 86-129, 2017	11*	2017

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