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Vanessa Volz
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- affiliation: Centrum Wiskunde & Informatica (CWI), Amsterdam, The Netherlands
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2020 – today
- 2024
- [c25]Sebastian Berns
, Vanessa Volz
Not All the Same: Understanding and Informing Similarity Estimation in Tile-Based Video Games. CHI 2024: 366:1-366:23 - [i17]Sebastian Berns, Vanessa Volz, Laurissa Tokarchuk, Sam Snodgrass, Christian Guckelsberger:
Not All the Same: Understanding and Informing Similarity Estimation in Tile-Based Video Games. CoRR abs/2402.18728 (2024) - 2023
- [j4]Vanessa Volz, Boris Naujoks, Pascal Kerschke
Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games. Appl. Soft Comput. 136: 110121 (2023) - [j3]Jacob Schrum
Hybrid Encoding for Generating Large Scale Game Level Patterns With Local Variations. IEEE Trans. Games 15(1): 46-55 (2023) - [p3]Koen van der Blom
Identifying Properties of Real-World Optimisation Problems Through a Questionnaire. Many-Criteria Optimization and Decision Analysis 2023: 59-80 - [p2]Vanessa Volz, Dani Irawan, Koen van der Blom
Benchmarking. Many-Criteria Optimization and Decision Analysis 2023: 149-179 - [i16]Vanessa Volz, Boris Naujoks, Pascal Kerschke, Tea Tusar:
Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games. CoRR abs/2302.08479 (2023) - 2021
- [i15]Jacob Schrum, Benjamin Capps, Kirby Steckel, Vanessa Volz, Sebastian Risi:
Hybrid Encoding For Generating Large Scale Game Level Patterns With Local Variations Using a GAN. CoRR abs/2105.12960 (2021) - 2020
- [j2]Vanessa Volz
Uncertainty Handling in Surrogate Assisted Optimisation of Games. Künstliche Intell. 34(1): 95-99 (2020) - [c24]Vanessa Volz, Niels Justesen, Sam Snodgrass, Sahar Asadi
Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning. CoG 2020: 399-406 - [c23]Vanessa Volz, Boris Naujoks
Towards Game-Playing AI Benchmarks via Performance Reporting Standards. CoG 2020: 764-771 - [c22]Jacob Schrum, Vanessa Volz, Sebastian Risi:
CPPN2GAN: combining compositional pattern producing networks and GANs for large-scale pattern generation. GECCO 2020: 139-147 - [c21]Jacob Schrum, Jake Gutierrez, Vanessa Volz, Jialin Liu
Interactive evolution and exploration within latent level-design space of generative adversarial networks. GECCO 2020: 148-156 - [c20]Koen van der Blom
Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems. GECCO Companion 2020: 293-294 - [p1]Tinkle Chugh
Towards Better Integration of Surrogate Models and Optimizers. High-Performance Simulation-Based Optimization 2020: 137-163 - [e1]Georgios N. Yannakakis, Antonios Liapis, Penny Kyburz, Vanessa Volz, Foaad Khosmood, Phil Lopes:
FDG '20: International Conference on the Foundations of Digital Games, Bugibba, Malta, September 15-18, 2020. ACM 2020, ISBN 978-1-4503-8807-8 [contents] - [i14]Jacob Schrum, Jake Gutierrez, Vanessa Volz, Jialin Liu, Simon M. Lucas, Sebastian Risi:
Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks. CoRR abs/2004.00151 (2020) - [i13]Jacob Schrum, Vanessa Volz, Sebastian Risi:
CPPN2GAN: Combining Compositional Pattern Producing Networks and GANs for Large-scale Pattern Generation. CoRR abs/2004.01703 (2020) - [i12]Koen van der Blom, Timo M. Deist, Tea Tusar
Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems. CoRR abs/2004.06395 (2020) - [i11]Vanessa Volz, Niels Justesen, Sam Snodgrass, Sahar Asadi, Sami Purmonen, Christoffer Holmgård, Julian Togelius, Sebastian Risi:
Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning. CoRR abs/2005.12579 (2020) - [i10]Vanessa Volz, Boris Naujoks:
Towards Game-Playing AI Benchmarks via Performance Reporting Standards. CoRR abs/2007.02742 (2020) - [i9]Thomas Bartz-Beielstein
Benchmarking in Optimization: Best Practice and Open Issues. CoRR abs/2007.03488 (2020) - [i8]Koen van der Blom, Timo M. Deist, Vanessa Volz, Mariapia Marchi, Yusuke Nojima, Boris Naujoks, Akira Oyama, Tea Tusar
Identifying Properties of Real-World Optimisation Problems through a Questionnaire. CoRR abs/2011.05547 (2020)
2010 – 2019
- 2019
- [b1]Vanessa Volz:
Uncertainty handling in surrogate assisted optimisation of games. Dortmund University, Germany, 2019 - [c19]Alexander Dockhorn, Simon M. Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, Diego Perez Liebana:
Learning Local Forward Models on Unforgiving Games. CoG 2019: 1-4 - [c18]Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse:
A Local Approach to Forward Model Learning: Results on the Game of Life Game. CoG 2019: 1-8 - [c17]Vanessa Volz, Boris Naujoks
On the Effects of Simulating Human Decisions in Game Analysis. CoG 2019: 1-8 - [c16]Simon M. Lucas, Vanessa Volz:
Tile pattern KL-divergence for analysing and evolving game levels. GECCO 2019: 170-178 - [c15]Vanessa Volz, Boris Naujoks
Single- and multi-objective game-benchmark for evolutionary algorithms. GECCO 2019: 647-655 - [c14]Vanessa Volz, Boris Naujoks
On benchmarking surrogate-assisted evolutionary algorithms. GECCO (Companion) 2019: 1603-1605 - [c13]Ivan Bravi, Vanessa Volz, Simon M. Lucas:
Game AI hyperparameter tuning in rinascimento. GECCO (Companion) 2019: 1742-1746 - [i7]Simon M. Lucas, Jialin Liu, Ivan Bravi, Raluca D. Gaina, John R. Woodward, Vanessa Volz, Diego Perez Liebana:
Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best. CoRR abs/1901.00723 (2019) - [i6]Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse:
A Local Approach to Forward Model Learning: Results on the Game of Life Game. CoRR abs/1903.12508 (2019) - [i5]Simon M. Lucas, Vanessa Volz:
Tile Pattern KL-Divergence for Analysing and Evolving Game Levels. CoRR abs/1905.05077 (2019) - [i4]Alexander Dockhorn, Simon M. Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, Diego Perez Liebana:
Learning Local Forward Models on Unforgiving Games. CoRR abs/1909.00442 (2019) - 2018
- [c12]Mike Preuss, Thomas Pfeiffer, Vanessa Volz, Nicolas Pflanzl:
Integrated Balancing of an RTS Game: Case Study and Toolbox Refinement. CIG 2018: 1-8 - [c11]Vanessa Volz, Kevin Majchrzak, Mike Preuss:
A Social Science-based Approach to Explanations for (Game) AI. CIG 2018: 1-2 - [c10]Vanessa Volz, Jacob Schrum, Jialin Liu
Evolving mario levels in the latent space of a deep convolutional generative adversarial network. GECCO 2018: 221-228 - [c9]Vanessa Volz, Mike Preuss, Mathias Kirk Bonde:
Towards Embodied StarCraft II Winner Prediction. CGW@IJCAI 2018: 3-22 - [i3]Vanessa Volz, Jacob Schrum, Jialin Liu, Simon M. Lucas, Adam M. Smith, Sebastian Risi:
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network. CoRR abs/1805.00728 (2018) - 2017
- [c8]Daan Apeldoorn, Vanessa Volz:
Measuring strategic depth in games using hierarchical knowledge bases. CIG 2017: 9-16 - [c7]Vanessa Volz, Günter Rudolph, Boris Naujoks
Surrogate-Assisted Partial Order-Based Evolutionary Optimisation. EMO 2017: 639-653 - [c6]Vanessa Volz, Günter Rudolph, Boris Naujoks
Investigating uncertainty propagation in surrogate-assisted evolutionary algorithms. GECCO 2017: 881-888 - [c5]Christian Eichhorn, Vanessa Volz, Richard Niland, Tim Schendekehl:
A Vision on Analysing Approaches for Knowledge Representation and Reasoning Using Computer Games. DKB/KIK@KI 2017: 31-42 - 2016
- [c4]Marlene Beyer, Aleksandr Agureikin, Alexander Anokhin, Christoph Laenger, Felix Nolte, Jonas Winterberg, Marcel Renka, Martin Rieger, Nicolas Pflanzl, Mike Preuss, Vanessa Volz:
An integrated process for game balancing. CIG 2016: 1-8 - [c3]Hendrik Horn, Vanessa Volz, Diego Perez Liebana, Mike Preuss:
MCTS/EA hybrid GVGAI players and game difficulty estimation. CIG 2016: 1-8 - [c2]Vanessa Volz, Günter Rudolph, Boris Naujoks
Demonstrating the Feasibility of Automatic Game Balancing. GECCO 2016: 269-276 - [c1]Vanessa Volz, Samadhi Nallaperuma, Boris Naujoks
GECCO'16 Student Workshop Chairs' Welcome & Organization. GECCO (Companion) 2016: 991-992 - [i2]Vanessa Volz, Günter Rudolph, Boris Naujoks:
Demonstrating the Feasibility of Automatic Game Balancing. CoRR abs/1603.03795 (2016) - [i1]Vanessa Volz, Günter Rudolph, Boris Naujoks:
Surrogate-Assisted Partial Order-based Evolutionary Optimisation. CoRR abs/1611.00260 (2016) - 2015
- [j1]Jens Lechtenbörger
Analysing observable success and activity indicators on crowdfunding platforms. Int. J. Web Based Communities 11(3/4): 264-289 (2015)
Coauthor Index
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