Vanessa Volz

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Boris NaujoksCologne University of Applied SciencesVerified email at fh-koeln.de
Simon LucasProfessor of Artificial Intelligence, Queen Mary University of LondonVerified email at qmul.ac.uk
Sebastian RisiProfessor, IT University of CopenhagenVerified email at itu.dk
Jacob SchrumSouthwestern UniversityVerified email at southwestern.edu
Jialin LiuTenure-Track Associate Professor, Lingnan University (Hong Kong)Verified email at ln.edu.hk
Mike PreussUniversiteit LeidenVerified email at liacs.leidenuniv.nl
Pascal KerschkeProfessor of Big Data Analytics in Transportation, TU Dresden, and ScaDS.AIVerified email at tu-dresden.de
Diego Perez-LiebanaQueen Mary University of LondonVerified email at qmul.ac.uk
Adam M. SmithUniversity of California, Santa CruzVerified email at ucsc.edu
Tea TušarSenior Research Associate, Jožef Stefan InstituteVerified email at ijs.si
Ivan BraviQueen Mary University of LondonVerified email at qmul.ac.uk
Günter RudolphProfessor in Computer Science, TU Dortmund UniversityVerified email at tu-dortmund.de
Thomas Bartz-BeielsteinTH Koeln, Institute for Data Science, Engineering, and AnalyticsVerified email at th-koeln.de
Raluca D. GainaQueen Mary University of London, UKVerified email at qmul.ac.uk
Nicolas Pflanzlviadee UnternehmensberatungVerified email at viadee.de
Julian TogeliusAssociate Professor of Computer Science and Engineering, New York University; co-founder, modl.aiVerified email at nyu.edu
Florian StahlResearch Assistant, ERCISVerified email at ercis.de
Gottfried VossenProfessor of Computer Science, University of Muenster, GermanyVerified email at wwu.de
Simon ColtonProf. Computational Creativity at Queen Mary University of London, UK & Monash University, AustraliaVerified email at qmul.ac.uk
Richard NilandComputer Science student, TU Dortmund UniversityVerified email at udo.edu

Vanessa Volz

Centrum Wiskunde & Informatica (CWI)

Verified email at cwi.nl - Homepage

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


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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	303	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	147	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
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	64	2016
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	59	2019
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
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
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	31	2019
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	28	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
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	23	2019
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
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	16	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	15	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	15	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	13	2015
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	12	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	12*	2017
Uncertainty Handling in Surrogate Assisted Optimisation of Games: Dissertation Abstract V Volz KI-Künstliche Intelligenz 34 (1), 95-99, 2020	11	2020

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