Vanessa Volz

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 44

Top Topics

Evolutionary Algorithm

Uncertainty Handling

Top Venues

Publications

Vanessa Volz, Boris Naujoks, Pascal Kerschke, Tea Tusar
Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games. CoRR (2023)
Jacob Schrum, Benjamin Capps, Kirby Steckel, Vanessa Volz, Sebastian Risi
Hybrid Encoding for Generating Large Scale Game Level Patterns With Local Variations. IEEE Trans. Games 15 (1) (2023)
Vanessa Volz, Boris Naujoks, Pascal Kerschke, Tea Tusar
Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games. Appl. Soft Comput. 136 (2023)
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 (2021)
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. GECCO (2020)
Vanessa Volz
Uncertainty Handling in Surrogate Assisted Optimisation of Games. Künstliche Intell. 34 (1) (2020)
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 (2020)
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 (2020)
Jacob Schrum, Vanessa Volz, Sebastian Risi
CPPN2GAN: combining compositional pattern producing networks and GANs for large-scale pattern generation. GECCO (2020)
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. CoG (2020)
Koen van der Blom, Timo M. Deist, Tea Tusar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks
Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems. GECCO Companion (2020)
Vanessa Volz, Boris Naujoks
Towards Game-Playing AI Benchmarks via Performance Reporting Standards. CoRR (2020)
Vanessa Volz, Boris Naujoks
Towards Game-Playing AI Benchmarks via Performance Reporting Standards. CoG (2020)
Jacob Schrum, Vanessa Volz, Sebastian Risi
CPPN2GAN: Combining Compositional Pattern Producing Networks and GANs for Large-scale Pattern Generation. CoRR (2020)
Koen van der Blom, Timo M. Deist, Tea Tusar, Mariapia Marchi, Yusuke Nojima, Akira Oyama, Vanessa Volz, Boris Naujoks
Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems. CoRR (2020)
Thomas Bartz-Beielstein, Carola Doerr, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, Manuel López-Ibáñez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, Thomas Weise
Benchmarking in Optimization: Best Practice and Open Issues. CoRR (2020)
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 (2020)
Vanessa Volz, Boris Naujoks, Pascal Kerschke, Tea Tusar
Single- and multi-objective game-benchmark for evolutionary algorithms. GECCO (2019)
Alexander Dockhorn, Simon M. Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, Diego Perez Liebana
Learning Local Forward Models on Unforgiving Games. CoRR (2019)
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 (2019)
Ivan Bravi, Vanessa Volz, Simon M. Lucas
Game AI hyperparameter tuning in rinascimento. GECCO (Companion) (2019)
Alexander Dockhorn, Simon M. Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, Diego Perez Liebana
Learning Local Forward Models on Unforgiving Games. CoG (2019)
Vanessa Volz, Boris Naujoks
On the Effects of Simulating Human Decisions in Game Analysis. CoG (2019)
Simon M. Lucas, Vanessa Volz
Tile Pattern KL-Divergence for Analysing and Evolving Game Levels. CoRR (2019)
Simon M. Lucas, Vanessa Volz
Tile pattern KL-divergence for analysing and evolving game levels. GECCO (2019)
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)
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 (2019)
Vanessa Volz, Boris Naujoks
On benchmarking surrogate-assisted evolutionary algorithms. GECCO (Companion) (2019)
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 (2018)
Vanessa Volz, Mike Preuss, Mathias Kirk Bonde
Towards Embodied StarCraft II Winner Prediction. CGW@IJCAI (2018)
Vanessa Volz, Kevin Majchrzak, Mike Preuss
A Social Science-based Approach to Explanations for (Game) AI. CIG (2018)
Mike Preuss, Thomas Pfeiffer, Vanessa Volz, Nicolas Pflanzl
Integrated Balancing of an RTS Game: Case Study and Toolbox Refinement. CIG (2018)
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. GECCO (2018)
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)
Vanessa Volz, Günter Rudolph, Boris Naujoks
Investigating uncertainty propagation in surrogate-assisted evolutionary algorithms. GECCO (2017)
Vanessa Volz, Günter Rudolph, Boris Naujoks
Surrogate-Assisted Partial Order-Based Evolutionary Optimisation. EMO (2017)
Daan Apeldoorn, Vanessa Volz
Measuring strategic depth in games using hierarchical knowledge bases. CIG (2017)
Vanessa Volz, Günter Rudolph, Boris Naujoks
Demonstrating the Feasibility of Automatic Game Balancing. CoRR (2016)
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)
Vanessa Volz, Samadhi Nallaperuma, Boris Naujoks
GECCO'16 Student Workshop Chairs' Welcome & Organization. GECCO (Companion) (2016)
Vanessa Volz, Günter Rudolph, Boris Naujoks
Surrogate-Assisted Partial Order-based Evolutionary Optimisation. CoRR (2016)
Hendrik Horn, Vanessa Volz, Diego Perez Liebana, Mike Preuss
MCTS/EA hybrid GVGAI players and game difficulty estimation. CIG (2016)
Vanessa Volz, Günter Rudolph, Boris Naujoks
Demonstrating the Feasibility of Automatic Game Balancing. GECCO (2016)
Jens Lechtenbörger, Florian Stahl, Vanessa Volz, Gottfried Vossen
Analysing observable success and activity indicators on crowdfunding platforms. Int. J. Web Based Communities 11 (3/4) (2015)