Mike Preuss

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 103

Top Venues

Publications

Manuel López-Ibáñez, Luís Paquete, Mike Preuss
Editorial for the Special Issue on Reproducibility. Evol. Comput. 32 (1) (2024)
Ali Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li, Michael Epitropakis
New Tunable Test Problems for Benchmarking Niching Methods for Multimodal Optimization. GECCO (2024)
Ali Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li, Michael Epitropakis
Experimental Setup for GECCO 2024 Competition on Benchmarking Niching Methods for Multimodal Optimization. GECCO Companion (2024)
Matthias Müller-Brockhausen, Giulio Barbero, Mike Preuss
Chatter Generation through Language Models. CoG (2023)
Pascal Kerschke, Mike Preuss
Exploratory Landscape Analysis. GECCO Companion (2023)
Antonios Liapis, Christian Guckelsberger, Jichen Zhu, Casper Harteveld, Simone Kriglstein, Alena Denisova, Jeremy Gow, Mike Preuss
Designing for Playfulness in Human-AI Authoring Tools. FDG (2023)
Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss
Memory Gym: Partially Observable Challenges to Memory-Based Agents in Endless Episodes. CoRR (2023)
Vincent L. Prins, Jelmer Prins, Mike Preuss, Marcello A. Gómez Maureira
StoryWorld: Procedural Quest Generation Rooted in Variety & Believability. FDG (2023)
Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat
Analysis of Hyper-Parameters for AlphaZero-Like Deep Reinforcement Learning. Int. J. Inf. Technol. Decis. Mak. 22 (2) (2023)
Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
First Go, then Post-Explore: The Benefits of Post-Exploration in Intrinsic Motivation. ICAART (2) (2023)
Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
Continuous Episodic Control. CoG (2023)
Aske Plaat, Walter A. Kosters, Mike Preuss
High-accuracy model-based reinforcement learning, a survey. Artif. Intell. Rev. 56 (9) (2023)
Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
Two-Memory Reinforcement Learning. CoG (2023)
Arthur van der Staaij, Jelmer Prins, Vincent L. Prins, Julian Poelsma, Thera Smit, Matthias Müller-Brockhausen, Mike Preuss
Believable Minecraft Settlements by Means of Decentralised Iterative Planning. CoRR (2023)
Arthur van der Staaij, Jelmer Prins, Vincent L. Prins, Julian Poelsma, Thera Smit, Matthias Müller-Brockhausen, Mike Preuss
Believable Minecraft Settlements by Means of Decentralised Iterative Planning. CoG (2023)
Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
Two-Memory Reinforcement Learning. CoRR (2023)
Paula Torren-Peraire, Alan Kai Hassen, Samuel Genheden, Jonas Verhoeven, Djork-Arne Clevert, Mike Preuss, Igor V. Tetko
Models Matter: The Impact of Single-Step Retrosynthesis on Synthesis Planning. CoRR (2023)
Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss
Memory Gym: Partially Observable Challenges to Memory-Based Agents. ICLR (2023)
Suzan Al-Nassar, Anthonie Schaap, Michael Van Der Zwart, Mike Preuss, Marcello A. Gómez Maureira
QuestVille: Procedural Quest Generation Using NLP Models. FDG (2023)
Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation. CoRR (2022)
Marco Pleines, Konstantin Ramthun, Yannik Wegener, Hendrik Meyer, Matthias Pallasch, Sebastian Prior, Jannik Drögemüller, Leon Büttinghaus, Thilo Röthemeyer, Alexander Kaschwig, Oliver Chmurzynski, Frederik Rohkrähmer, Roman Kalkreuth, Frank Zimmer, Mike Preuss
On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer. CoRR (2022)
Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
Continuous Episodic Control. CoRR (2022)
Marco Pleines, Konstantin Ramthun, Yannik Wegener, Hendrik Meyer, Matthias Pallasch, Sebastian Prior, Jannik Drögemüller, Leon Büttinghaus, Thilo Röthemeyer, Alexander Kaschwig, Oliver Chmurzynski, Frederik Rohkrähmer, Roman Kalkreuth, Frank Zimmer, Mike Preuss
On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer. CoG (2022)
Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss
Generalization, Mayhems and Limits in Recurrent Proximal Policy Optimization. CoRR (2022)
Matthias Müller-Brockhausen, Aske Plaat, Mike Preuss
Towards verifiable Benchmarks for Reinforcement Learning. CoG (2022)
Matthias Müller-Brockhausen, Aske Plaat, Mike Preuss
Reliable validation of Reinforcement Learning Benchmarks. CoRR (2022)
Alan Kai Hassen, Paula Torren-Peraire, Samuel Genheden, Jonas Verhoeven, Mike Preuss, Igor V. Tetko
Mind the Retrosynthesis Gap: Bridging the divide between Single-step and Multi-step Retrosynthesis Prediction. CoRR (2022)
Christian Grimme, Janina Pohl, Stefano Cresci, Ralf Lüling, Mike Preuss
New Automation for Social Bots: From Trivial Behavior to AI-Powered Communication. MISDOOM (2022)
Christoph Salge, Claus Aranha, Adrian Brightmoore, Sean Butler, Rodrigo De Moura Canaan, Michael Cook, Michael Cerny Green, Hagen Fischer, Christian Guckelsberger, Jupiter Hadley, Jean-Baptiste Hervé, Mark R. Johnson, Quinn Kybartas, David Mason, Mike Preuss, Tristan Smith, Ruck Thawonmas, Julian Togelius
Impressions of the GDMC AI Settlement Generation Challenge in Minecraft. FDG (2022)
Wenjian Luo, Yingying Qiao, Xin Lin, Peilan Xu, Mike Preuss
Hybridizing Niching, Particle Swarm Optimization, and Evolution Strategy for Multimodal Optimization. IEEE Trans. Cybern. 52 (7) (2022)
Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation. CoRR (2022)
Hui Wang, Mike Preuss, Aske Plaat
Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning. CoRR (2021)
Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat
Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning. CoRR (2021)
Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat
Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning. CoG (2021)
Maxim Mozgovoy, Mike Preuss, Rafael Bidarra
Team Sports for Game AI Benchmarking Revisited. Int. J. Comput. Games Technol. 2021 (2021)
Christian Grimme, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Mike Preuss, André H. Deutz, Hao Wang, Michael Emmerich
Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization. Comput. Oper. Res. 136 (2021)
Aske Plaat, Walter A. Kosters, Mike Preuss
High-Accuracy Model-Based Reinforcement Learning, a Survey. CoRR (2021)
Zhao Yang, Mike Preuss, Aske Plaat
Potential-based Reward Shaping in Sokoban. CoRR (2021)
Maxim Mozgovoy, Mike Preuss, Rafael Bidarra
Guest Editorial Special Issue on Team AI in Games. IEEE Trans. Games 13 (4) (2021)
Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat
A New Challenge: Approaching Tetris Link with AI. CoG (2021)
Zhao Yang, Mike Preuss, Aske Plaat
Transfer Learning and Curriculum Learning in Sokoban. BNAIC/BENELEARN (2021)
Karsten Rothmeier, Nicolas Pflanzl, Joschka Andreas Hüllmann, Mike Preuss
Prediction of Player Churn and Disengagement Based on User Activity Data of a Freemium Online Strategy Game. IEEE Trans. Games 13 (1) (2021)
Zhao Yang, Mike Preuss, Aske Plaat
Transfer Learning and Curriculum Learning in Sokoban. CoRR (2021)
Hui Wang, Mike Preuss, Aske Plaat
Adaptive Warm-Start MCTS in AlphaZero-Like Deep Reinforcement Learning. PRICAI (3) (2021)
Alexander Hagg, Mike Preuss, Alexander Asteroth, Thomas Bäck
An Analysis of Phenotypic Diversity in Multi-Solution Optimization. CoRR (2021)
Christoph Salge, Claus Aranha, Adrian Brightmoore, Sean Butler, Rodrigo Canaan, Michael Cook, Michael Cerny Green, Hagen Fischer, Christian Guckelsberger, Jupiter Hadley, Jean-Baptiste Hervé, Mark R. Johnson, Quinn Kybartas, David Mason, Mike Preuss, Tristan Smith, Ruck Thawonmas, Julian Togelius
Impressions of the GDMC AI Settlement Generation Challenge in Minecraft. CoRR (2021)
Wenjian Luo, Xin Lin, Jiajia Zhang, Mike Preuss
A Survey of Nearest-Better Clustering in Swarm and Evolutionary Computation. CEC (2021)
Sebastian Risi, Mike Preuss
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI. CoRR (2020)
Alexander Hagg, Mike Preuss, Alexander Asteroth, Thomas Bäck
An Analysis of Phenotypic Diversity in Multi-solution Optimization. BIOMA (2020)
Yannick Verhoeven, Mike Preuss
On the Potential of Rocket League for Driving Team AI Development. SSCI (2020)
Marcello A. Gómez Maureira, Giulio Barbero, Maria Freese, Mike Preuss
Towards a Taxonomy of AI in Hybrid Board Games. FDG (2020)
Sebastian Risi, Mike Preuss
Special Issue on AI in Games. Künstliche Intell. 34 (1) (2020)
David Virag, Tyron Offerman, Bart de Jong, Mike Preuss
IT security challenges for continuously connected near-autonomous vehicles. ICE/ITMC (2020)
Marco Pleines, Jenia Jitsev, Mike Preuss, Frank Zimmer
Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning. CoRR (2020)
Lena Clever, Dennis Assenmacher, Kilian Müller, Moritz Vinzent Seiler, Dennis M. Riehle, Mike Preuss, Christian Grimme
FakeYou! - A Gamified Approach for Building and Evaluating Resilience Against Fake News. MISDOOM (2020)
Christoph Salge, Emily Short, Mike Preuss, Spyridon Samothrakis, Pieter Spronck
Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP). CoG (2020)
Christoph Salge, Emily Short, Mike Preuss, Spyridon Samothrakis, Pieter Spronck
Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP). CoRR (2020)
Sebastian Risi, Mike Preuss
Behind DeepMind's AlphaStar AI that Reached Grandmaster Level in StarCraft II. Künstliche Intell. 34 (1) (2020)
Hui Wang, Mike Preuss, Michael Emmerich, Aske Plaat
Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning. CoRR (2020)
Christian Stöcker, Mike Preuss
Riding the Wave of Misclassification: How We End up with Extreme YouTube Content. HCI (14) (2020)
Aske Plaat, Walter A. Kosters, Mike Preuss
Model-Based Deep Reinforcement Learning for High-Dimensional Problems, a Survey. CoRR (2020)
Hui Wang, Mike Preuss, Michael Emmerich, Aske Plaat
Tackling Morpion Solitaire with AlphaZero-like Ranked Reward Reinforcement Learning. SYNASC (2020)
Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat
Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play? CoRR (2020)
Hui Wang, Mike Preuss, Aske Plaat
Warm-Start AlphaZero Self-play Search Enhancements. PPSN (2) (2020)
Sebastian Risi, Mike Preuss
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI. Künstliche Intell. 34 (1) (2020)
Jialin Liu, Antoine Moreau, Mike Preuss, Jérémy Rapin, Baptiste Rozière, Fabien Teytaud, Olivier Teytaud
Versatile black-box optimization. GECCO (2020)
Hui Wang, Mike Preuss, Aske Plaat
Warm-Start AlphaZero Self-Play Search Enhancements. CoRR (2020)
Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat
A New Challenge: Approaching Tetris Link with AI. CoRR (2020)
Mike Preuss, Sebastian Risi
A Games Industry Perspective on Recent Game AI Developments. Künstliche Intell. 34 (1) (2020)
Lena Clever, Dennis Assenmacher, Kilian Müller, Moritz Vinzent Seiler, Dennis M. Riehle, Mike Preuss, Christian Grimme
FakeYou! - A Gamified Approach for Building and Evaluating Resilience Against Fake News. CoRR (2020)
Marco Pleines, Jenia Jitsev, Mike Preuss, Frank Zimmer
Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning. CoG (2020)
Jialin Liu, Antoine Moreau, Mike Preuss, Baptiste Rozière, Jérémy Rapin, Fabien Teytaud, Olivier Teytaud
Versatile Black-Box Optimization. CoRR (2020)
Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André H. Deutz, Heike Trautmann, Michael T. M. Emmerich
Search Dynamics on Multimodal Multiobjective Problems. Evol. Comput. 27 (4) (2019)
Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat
Alternative Loss Functions in AlphaZero-like Self-play. SSCI (2019)
Jérémy Rapin, Marcus Gallagher, Pascal Kerschke, Mike Preuss, Olivier Teytaud
Exploring the MLDA benchmark on the nevergrad platform. GECCO (Companion) (2019)
Pascal Kerschke, Mike Preuss
Exploratory landscape analysis. GECCO (Companion) (2019)
Hao Wang, Thomas Bäck, Aske Plaat, Michael Emmerich, Mike Preuss
On the potential of evolution strategies for neural network weight optimization. GECCO (Companion) (2019)
Raphael Patrick Prager, Laura Troost, Simeon Brüggenjürgen, David Melhart, Georgios N. Yannakakis, Mike Preuss
An Experiment on Game Facet Combination\. CoG (2019)
Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat
Hyper-Parameter Sweep on AlphaZero General. CoRR (2019)
Wenjian Luo, Yingying Qiao, Xin Lin, Peilan Xu, Mike Preuss
Many-Modal Optimization by Difficulty-Based Cooperative Co-evolution. SSCI (2019)
Antonios Liapis, Georgios N. Yannakakis, Mark J. Nelson, Mike Preuss, Rafael Bidarra
Orchestrating Game Generation. IEEE Trans. Games 11 (1) (2019)
Vanessa Volz, Mike Preuss, Mathias Kirk Bonde
Towards Embodied StarCraft II Winner Prediction. CGW@IJCAI (2018)
Marwin H. S. Segler, Mike Preuss, Mark P. Waller
Planning chemical syntheses with deep neural networks and symbolic AI. Nat. 555 (7698) (2018)
Vanessa Volz, Kevin Majchrzak, Mike Preuss
A Social Science-based Approach to Explanations for (Game) AI. CIG (2018)
Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang
Tutorials at PPSN 2018. PPSN (2) (2018)
Mike Preuss, Thomas Pfeiffer, Vanessa Volz, Nicolas Pflanzl
Integrated Balancing of an RTS Game: Case Study and Toolbox Refinement. CIG (2018)
Robin C. Purshouse, Christine Zarges, Sylvain Cussat-Blanc, Michael G. Epitropakis, Marcus Gallagher, Thomas Jansen, Pascal Kerschke, Xiaodong Li, Fernando G. Lobo, Julian F. Miller, Pietro S. Oliveto, Mike Preuss, Giovanni Squillero, Alberto Paolo Tonda, Markus Wagner, Thomas Weise, Dennis Wilson, Borys Wróbel, Ales Zamuda
Workshops at PPSN 2018. PPSN (2) (2018)
Marwin H. S. Segler, Mike Preuss, Mark P. Waller
Learning to Plan Chemical Syntheses. CoRR (2017)
Simon Wessing, Mike Preuss
The True Destination of EGO is Multi-local Optimization. CoRR (2017)
Christian Grimme, Mike Preuss, Lena Adam, Heike Trautmann
Social Bots: Human-Like by Means of Human Control? Big Data 5 (4) (2017)
Pascal Kerschke, Mike Preuss
Exploratory landscape analysis: advanced tutorial at GECCO 2017. GECCO (Companion) (2017)
Christian Grimme, Mike Preuss, Lena Adam, Heike Trautmann
Social Bots: Human-Like by Means of Human Control? CoRR (2017)
Marwin H. S. Segler, Mike Preuss, Mark P. Waller
Towards "AlphaChem": Chemical Synthesis Planning with Tree Search and Deep Neural Network Policies. ICLR (Workshop) (2017)
Simon Wessing, Mike Preuss
The true destination of EGO is multi-local optimization. LA-CCI (2017)
Ali Ahrari, Kalyanmoy Deb, Mike Preuss
Multimodal Optimization by Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations. Evol. Comput. 25 (3) (2017)
Ahmed Khalifa, Mike Preuss, Julian Togelius
Multi-objective Adaptation of a Parameterized GVGAI Agent Towards Several Games. EMO (2017)
Michael Buro, Santiago Ontañón, Mike Preuss
Guest Editorial Real-Time Strategy Games. IEEE Trans. Comput. Intell. AI Games 8 (4) (2016)
Pascal Kerschke, Mike Preuss, Simon Wessing, Heike Trautmann
Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models. GECCO (2016)
Simon Wessing, Mike Preuss
On multiobjective selection for multimodal optimization. Comput. Optim. Appl. 63 (3) (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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mike Preuss