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ORCIDMike Preuss
Mike Preuß
Person information
- affiliation: Universiteit Leiden, The Netherlands
- affiliation (former): WWU Münster, Germany
- affiliation (former): Technical University of Dortmund, Germany
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2020 – today
- 2024
[j33]Manuel López-Ibáñez
, Luís Paquete, Mike Preuss:
Editorial for the Special Issue on Reproducibility. Evol. Comput. 32(1): 1-2 (2024)- [c131]Alessandro Marincioni, Myriana Miltiadous, Katerina Zacharia, Rick Heemskerk, Georgios Doukeris, Mike Preuss, Giulio Barbero:
The Effect of LLM-Based NPC Emotional States on Player Emotions: An Analysis of Interactive Game Play. CoG 2024: 1-6 - [c130]Arthur van der Staaij, Mike Preuss, Christoph Salge:
Terrain-adaptive PCGML in Minecraft. CoG 2024: 1-8 - [c129]Ali Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li, Michael Epitropakis:
New Tunable Test Problems for Benchmarking Niching Methods for Multimodal Optimization. GECCO 2024 - [c128]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: 5-6 - [e12]Mike Preuss, Agata Leszkiewicz, Jean-Christopher Boucher, Ofer Fridman, Lucas Stampe:
Disinformation in Open Online Media - 6th Multidisciplinary International Symposium, MISDOOM 2024, Münster, Germany, September 2-4, 2024, Proceedings. Lecture Notes in Computer Science 15175, Springer 2024, ISBN 978-3-031-71209-8 [contents] - 2023
- [j32]Aske Plaat, Walter A. Kosters, Mike Preuss:
High-accuracy model-based reinforcement learning, a survey. Artif. Intell. Rev. 56(9): 9541-9573 (2023) - [j31]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): 829-853 (2023) - [c127]Matthias Müller-Brockhausen, Giulio Barbero, Mike Preuss:
Chatter Generation through Language Models. CoG 2023: 1-6 - [c126]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: 1-8 - [c125]Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat:
Continuous Episodic Control. CoG 2023: 1-8 - [c124]Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat:
Two-Memory Reinforcement Learning. CoG 2023: 1-9 - [c123]Vincent L. Prins, Jelmer Prins, Mike Preuss, Marcello A. Gómez Maureira:
StoryWorld: Procedural Quest Generation Rooted in Variety & Believability. FDG 2023: 44:1-44:4 - [c122]Suzan Al-Nassar, Anthonie Schaap, Michael Van Der Zwart, Mike Preuss, Marcello A. Gómez Maureira:
QuestVille: Procedural Quest Generation Using NLP Models. FDG 2023: 50:1-50:4 - [c121]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: 75:1-75:4 - [c120]Pascal Kerschke, Mike Preuss:
Exploratory Landscape Analysis. GECCO Companion 2023: 990-1007 - [c119]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: 27-34 - [c118]Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss:
Memory Gym: Partially Observable Challenges to Memory-Based Agents. ICLR 2023 - [i36]Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat:
Two-Memory Reinforcement Learning. CoRR abs/2304.10098 (2023) - [i35]Paula Torren-Peraire, Alan Kai Hassen, Samuel Genheden, Jonas Verhoeven, Djork-Arné Clevert, Mike Preuss, Igor V. Tetko:
Models Matter: The Impact of Single-Step Retrosynthesis on Synthesis Planning. CoRR abs/2308.05522 (2023) - [i34]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 abs/2309.10871 (2023) - [i33]Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss:
Memory Gym: Partially Observable Challenges to Memory-Based Agents in Endless Episodes. CoRR abs/2309.17207 (2023) - 2022
- [j30]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): 6707-6720 (2022) - [c117]Matthias Müller-Brockhausen, Aske Plaat, Mike Preuss:
Towards verifiable Benchmarks for Reinforcement Learning. CoG 2022: 159-166 - [c116]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: 253-260 - [c115]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 Richard 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: 45:1-45:16 - [c114]Christian Grimme, Janina Pohl, Stefano Cresci, Ralf Lüling, Mike Preuss:
New Automation for Social Bots: From Trivial Behavior to AI-Powered Communication. MISDOOM 2022: 79-99 - [i32]Matthias Müller-Brockhausen, Aske Plaat, Mike Preuss:
Reliable validation of Reinforcement Learning Benchmarks. CoRR abs/2203.01075 (2022) - [i31]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 abs/2203.16311 (2022) - [i30]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 abs/2205.05061 (2022) - [i29]Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss:
Generalization, Mayhems and Limits in Recurrent Proximal Policy Optimization. CoRR abs/2205.11104 (2022) - [i28]Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat:
Continuous Episodic Control. CoRR abs/2211.15183 (2022) - [i27]Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat:
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation. CoRR abs/2212.03251 (2022) - [i26]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 abs/2212.11809 (2022) - 2021
- [j29]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: 105489 (2021) - [j28]Maxim Mozgovoy, Mike Preuss, Rafael Bidarra:
Team Sports for Game AI Benchmarking Revisited. Int. J. Comput. Games Technol. 2021: 5521877:1-5521877:9 (2021) - [j27]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): 78-88 (2021) - [j26]Maxim Mozgovoy, Mike Preuss, Rafael Bidarra:
Guest Editorial Special Issue on Team AI in Games. IEEE Trans. Games 13(4): 327-329 (2021) - [c113]Zhao Yang, Mike Preuss, Aske Plaat:
Transfer Learning and Curriculum Learning in Sokoban. BNAIC/BENELEARN 2021: 187-200 - [c112]Wenjian Luo, Xin Lin, Jiajia Zhang, Mike Preuss:
A Survey of Nearest-Better Clustering in Swarm and Evolutionary Computation. CEC 2021: 1961-1967 - [c111]Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat:
A New Challenge: Approaching Tetris Link with AI. CoG 2021: 1-8 - [c110]Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat:
Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning. CoG 2021: 1-8 - [c109]Hui Wang, Mike Preuss, Aske Plaat:
Adaptive Warm-Start MCTS in AlphaZero-Like Deep Reinforcement Learning. PRICAI (3) 2021: 60-71 - [p12]Mike Preuss, Michael Epitropakis, Xiaodong Li, Jonathan E. Fieldsend:
Multimodal Optimization: Formulation, Heuristics, and a Decade of Advances. Metaheuristics for Finding Multiple Solutions 2021: 1-26 - [e11]Mike Preuss, Michael G. Epitropakis, Xiaodong Li, Jonathan E. Fieldsend:
Metaheuristics for Finding Multiple Solutions. Natural Computing Series, Springer 2021, ISBN 978-3-030-79552-8 [contents] - [i25]Alexander Hagg, Mike Preuss, Alexander Asteroth, Thomas Bäck:
An Analysis of Phenotypic Diversity in Multi-Solution Optimization. CoRR abs/2105.04252 (2021) - [i24]Hui Wang, Mike Preuss, Aske Plaat:
Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning. CoRR abs/2105.06136 (2021) - [i23]Zhao Yang, Mike Preuss, Aske Plaat:
Transfer Learning and Curriculum Learning in Sokoban. CoRR abs/2105.11702 (2021) - [i22]Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat:
Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning. CoRR abs/2105.14780 (2021) - [i21]Aske Plaat, Walter A. Kosters, Mike Preuss:
High-Accuracy Model-Based Reinforcement Learning, a Survey. CoRR abs/2107.08241 (2021) - [i20]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 Richard Johnson, Quinn Kybartas, David Mason, Mike Preuss, Tristan Smith, Ruck Thawonmas, Julian Togelius:
Impressions of the GDMC AI Settlement Generation Challenge in Minecraft. CoRR abs/2108.02955 (2021) - [i19]Zhao Yang, Mike Preuss, Aske Plaat:
Potential-based Reward Shaping in Sokoban. CoRR abs/2109.05022 (2021) - 2020
- [j25]Sebastian Risi, Mike Preuss:
Special Issue on AI in Games. Künstliche Intell. 34(1): 5-6 (2020) - [j24]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): 7-17 (2020) - [j23]Mike Preuss, Sebastian Risi:
A Games Industry Perspective on Recent Game AI Developments. Künstliche Intell. 34(1): 81-83 (2020) - [j22]Sebastian Risi, Mike Preuss:
Behind DeepMind's AlphaStar AI that Reached Grandmaster Level in StarCraft II. Künstliche Intell. 34(1): 85-86 (2020) - [c108]Alexander Hagg, Mike Preuss, Alexander Asteroth, Thomas Bäck:
An Analysis of Phenotypic Diversity in Multi-solution Optimization. BIOMA 2020: 43-55 - [c107]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: 447-454 - [c106]Christoph Salge, Emily Short, Mike Preuss, Spyridon Samothrakis, Pieter Spronck:
Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP). CoG 2020: 612-619 - [c105]Marcello A. Gómez Maureira, Giulio Barbero, Maria Freese, Mike Preuss:
Towards a Taxonomy of AI in Hybrid Board Games. FDG 2020: 105:1-105:6 - [c104]Jialin Liu, Antoine Moreau, Mike Preuss, Jérémy Rapin, Baptiste Rozière, Fabien Teytaud, Olivier Teytaud:
Versatile black-box optimization. GECCO 2020: 620-628 - [c103]Christian Stöcker, Mike Preuss:
Riding the Wave of Misclassification: How We End up with Extreme YouTube Content. HCI (14) 2020: 359-375 - [c102]David Virag, Tyron Offerman, Bart de Jong, Mike Preuss:
IT security challenges for continuously connected near-autonomous vehicles. ICE/ITMC 2020: 1-8 - [c101]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: 218-232 - [c100]Hui Wang, Mike Preuss, Aske Plaat:
Warm-Start AlphaZero Self-play Search Enhancements. PPSN (2) 2020: 528-542 - [c99]Yannick Verhoeven, Mike Preuss:
On the Potential of Rocket League for Driving Team AI Development. SSCI 2020: 2335-2342 - [c98]Hui Wang, Mike Preuss, Michael Emmerich, Aske Plaat:
Tackling Morpion Solitaire with AlphaZero-like Ranked Reward Reinforcement Learning. SYNASC 2020: 149-152 - [e10]Christian Grimme, Mike Preuss, Frank W. Takes, Annie Waldherr:
Disinformation in Open Online Media - First Multidisciplinary International Symposium, MISDOOM 2019, Hamburg, Germany, February 27 - March 1, 2019, Revised Selected Papers. Lecture Notes in Computer Science 12021, Springer 2020, ISBN 978-3-030-39626-8 [contents] - [e9]Max J. van Duijn, Mike Preuss, Viktoria Spaiser, Frank W. Takes, Suzan Verberne:
Disinformation in Open Online Media - Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26-27, 2020, Proceedings. Lecture Notes in Computer Science 12259, Springer 2020, ISBN 978-3-030-61840-7 [contents] - [e8]Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann:
Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12269, Springer 2020, ISBN 978-3-030-58111-4 [contents] - [e7]Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann:
Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12270, Springer 2020, ISBN 978-3-030-58114-5 [contents] - [i18]Sebastian Risi, Mike Preuss:
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI. CoRR abs/2002.10433 (2020) - [i17]Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat:
Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play? CoRR abs/2003.05988 (2020) - [i16]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 abs/2003.07595 (2020) - [i15]Matthias Müller-Brockhausen, Mike Preuss, Aske Plaat:
A New Challenge: Approaching Tetris Link with AI. CoRR abs/2004.00377 (2020) - [i14]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 abs/2004.00567 (2020) - [i13]Hui Wang, Mike Preuss, Aske Plaat:
Warm-Start AlphaZero Self-Play Search Enhancements. CoRR abs/2004.12357 (2020) - [i12]Jialin Liu, Antoine Moreau, Mike Preuss, Baptiste Rozière, Jérémy Rapin, Fabien Teytaud, Olivier Teytaud:
Versatile Black-Box Optimization. CoRR abs/2004.14014 (2020) - [i11]Hui Wang, Mike Preuss, Michael Emmerich, Aske Plaat:
Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning. CoRR abs/2006.07970 (2020) - [i10]Aske Plaat, Walter A. Kosters, Mike Preuss:
Model-Based Deep Reinforcement Learning for High-Dimensional Problems, a Survey. CoRR abs/2008.05598 (2020) - [i9]Christoph Salge, Emily Short, Mike Preuss, Spyridon Samothrakis, Pieter Spronck:
Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP). CoRR abs/2008.11003 (2020)
2010 – 2019
- 2019
- [j21]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): 577-609 (2019) - [j20]Antonios Liapis, Georgios N. Yannakakis, Mark J. Nelson, Mike Preuss, Rafael Bidarra:
Orchestrating Game Generation. IEEE Trans. Games 11(1): 48-68 (2019) - [c97]Raphael Patrick Prager, Laura Troost, Simeon Brüggenjürgen, David Melhart, Georgios N. Yannakakis, Mike Preuss:
An Experiment on Game Facet Combination\. CoG 2019: 1-8 - [c96]Hao Wang, Thomas Bäck, Aske Plaat, Michael Emmerich, Mike Preuss:
On the potential of evolution strategies for neural network weight optimization. GECCO (Companion) 2019: 191-192 - [c95]Pascal Kerschke, Mike Preuss:
Exploratory landscape analysis. GECCO (Companion) 2019: 1137-1155 - [c94]Jérémy Rapin, Marcus Gallagher, Pascal Kerschke, Mike Preuss, Olivier Teytaud:
Exploring the MLDA benchmark on the nevergrad platform. GECCO (Companion) 2019: 1888-1896 - [c93]Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat:
Alternative Loss Functions in AlphaZero-like Self-play. SSCI 2019: 155-162 - [c92]Wenjian Luo, Yingying Qiao, Xin Lin, Peilan Xu, Mike Preuss:
Many-Modal Optimization by Difficulty-Based Cooperative Co-evolution. SSCI 2019: 1907-1914 - [r2]David Churchill, Mike Preuss, Florian Richoux, Gabriel Synnaeve, Alberto Uriarte, Santiago Ontañón, Michal Certický:
StarCraft Bots and Competitions. Encyclopedia of Computer Graphics and Games 2019 - [r1]Santiago Ontañón, Gabriel Synnaeve, Alberto Uriarte, Florian Richoux, David Churchill, Mike Preuss:
RTS AI Problems and Techniques. Encyclopedia of Computer Graphics and Games 2019 - [i8]Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat:
Hyper-Parameter Sweep on AlphaZero General. CoRR abs/1903.08129 (2019) - 2018
- [j19]Marwin H. S. Segler, Mike Preuss, Mark P. Waller:
Planning chemical syntheses with deep neural networks and symbolic AI. Nat. 555(7698): 604-610 (2018) - [c91]Mike Preuss, Thomas Pfeiffer, Vanessa Volz, Nicolas Pflanzl:
Integrated Balancing of an RTS Game: Case Study and Toolbox Refinement. CIG 2018: 1-8 - [c90]Vanessa Volz, Kevin Majchrzak, Mike Preuss:
A Social Science-based Approach to Explanations for (Game) AI. CIG 2018: 1-2 - [c89]Vanessa Volz, Mike Preuss, Mathias Kirk Bonde:
Towards Embodied StarCraft II Winner Prediction. CGW@IJCAI 2018: 3-22 - [c88]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: 477-489 - [c87]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: 490-497 - 2017
- [j18]Christian Grimme, Mike Preuss, Lena Adam, Heike Trautmann:
Social Bots: Human-Like by Means of Human Control? Big Data 5(4): 279-293 (2017) - [j17]Ali Ahrari, Kalyanmoy Deb, Mike Preuss:
Multimodal Optimization by Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations. Evol. Comput. 25(3): 439-471 (2017) - [c86]Ahmed Khalifa, Mike Preuss, Julian Togelius:
Multi-objective Adaptation of a Parameterized GVGAI Agent Towards Several Games. EMO 2017: 359-374 - [c85]Pascal Kerschke, Mike Preuss:
Exploratory landscape analysis: advanced tutorial at GECCO 2017. GECCO (Companion) 2017: 762-781 - [c84]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 - [c83]Simon Wessing, Mike Preuss:
The true destination of EGO is multi-local optimization. LA-CCI 2017: 1-6 - [i7]Marwin H. S. Segler, Mike Preuß, Mark P. Waller:
Towards "AlphaChem": Chemical Synthesis Planning with Tree Search and Deep Neural Network Policies. CoRR abs/1702.00020 (2017) - [i6]Simon Wessing, Mike Preuss:
The True Destination of EGO is Multi-local Optimization. CoRR abs/1704.05724 (2017) - [i5]Christian Grimme, Mike Preuss, Lena Adam, Heike Trautmann:
Social Bots: Human-Like by Means of Human Control? CoRR abs/1706.07624 (2017) - [i4]Marwin H. S. Segler, Mike Preuss, Mark P. Waller:
Learning to Plan Chemical Syntheses. CoRR abs/1708.04202 (2017) - [i3]Pieter Spronck, Elisabeth André, Michael Cook, Mike Preuß:
Artificial and Computational Intelligence in Games: AI-Driven Game Design (Dagstuhl Seminar 17471). Dagstuhl Reports 7(11): 86-129 (2017) - 2016
- [j16]Simon Wessing, Mike Preuss:
On multiobjective selection for multimodal optimization. Comput. Optim. Appl. 63(3): 875-902 (2016) - [j15]Michael Buro, Santiago Ontañón, Mike Preuss:
Guest Editorial Real-Time Strategy Games. IEEE Trans. Comput. Intell. AI Games 8(4): 317-318 (2016) - [c82]Marlene Beyer, Aleksandr Agureikin, Alexander Anokhin, Christoph Laenger, Felix Nolte, Jonas Winterberg, Marcel Renka, Martin Rieger,