Vanessa Volz
Titel
Zitiert von
Zitiert von
Jahr
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
1052018
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
252016
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
192016
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
132019
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
132019
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
arXiv preprint arXiv:2004.00151, 2020
122020
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
122019
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
112019
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
112016
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
92019
Benchmarking in optimization: Best practice and open issues
T Bartz-Beielstein, C Doerr, J Bossek, S Chandrasekaran, T Eftimov, ...
arXiv preprint arXiv:2007.03488, 2020
82020
Surrogate-assisted partial order-based evolutionary optimisation
V Volz, G Rudolph, B Naujoks
International Conference on Evolutionary Multi-Criterion Optimization, 639-653, 2017
82017
Gameplay Evaluation Measures
V Volz, D Ashlock, S Colton, S Dahlskog, J Liu, SM Lucas, ...
Dagstuhl Reports (Seminar 27471) 7 (11), 86-129, 2017
8*2017
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
82017
Uncertainty Handling in Surrogate Assisted Optimisation of Games
V Volz
KI-Künstliche Intelligenz 34 (1), 95-99, 2020
62020
Uncertainty Handling in Surrogate Assisted Optimisation of Games
V Volz
TU Dortmund University, 2019
62019
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
62018
CPPN2GAN: Combining Compositional Pattern Producing Networks and GANs for Large-scale Pattern Generation
J Schrum, V Volz, S Risi
arXiv preprint arXiv:2004.01703, 2020
52020
Towards Better Integration of Surrogate Models and Optimizers
T Chugh, A Rahat, V Volz, M Zaefferer
High-Performance Simulation-Based Optimization, 137-163, 2020
52020
Towards Embodied StarCraft II Winner Prediction
V Volz, M Preuss, MK Bonde
Workshop on Computer Games, 3-22, 2018
42018
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