
Sebastian Risi
Full Professor
- Creative AI Lab
Research Group
- Machine Learning
Research Group
- Robotics, Evolution, and Art Lab
Research Group
- Digital Design
Department
IT University of Copenhagen
Rued Langgaards Vej 7
DK-2300 Copenhagen S
Denmark
Building: 2F18-2T38
Information Desk: 72185000
Sebastian Risi
Full Professor
- Digital Design
- Digital Design
- Robotics, Evolution, and Art Lab
- Machine Learning
- Creative AI Lab
Postal address:
2F18-2T38
Email: sebr@itu.dk
Phone: +45 72185018
Web address: http://, http://www.sebastianrisi.com
Publications
Squeezer - A Mixed-Initiative Tool for Designing Juice Effects
Johansen, M., Pichlmair, M. & Risi, S., 16 Sep 2021, Proceedings of The 16th International Conference on the Foundations of Digital Games (FDG) 2021 (FDG’21). Association for Computing Machinery, 11 p. 37Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning
Löwe, M., Villareale, J., Freed, E., Sladek, A., Zhu, J. & Risi, S., Aug 2021.Growing 3D Artefacts and Functional Machines with Neural Cellular Automata
Sudhakaran, S., Grbic, D., Li, S., Katona, A., Najarro, E., Glanois, C. & Risi, S., 19 Jul 2021, In: Artificial Life Conference Proceedings . 2021, 9 p.Safer Reinforcement Learning through Transferable Instinct Networks
Grbic, D. & Risi, S., 19 Jul 2021, In: Artificial Life Conference Proceedings . 2021, 10 p.Evolving and Merging Hebbian Learning Rules: Increasing Generalization by Decreasing the Number of Rule
Winther Pedersen, J. & Risi, S., 10 Jul 2021.Growing Simulated Robots with Environmental Feedback: an Eco-Evo-Devo Approach
Helmut Hauser, Walker, K. E. & Risi, S., 10 Jul 2021, In: GECCO.Utopian or Dystopian?: Using a ML-Assisted image generation game to empower the general public to envision the future
Rafner, J., Langsford, S., Philipsen, L., Risi, S., Hjorth, A., Simon, J., Gajdacz, M. & Sherson, J., 1 Jun 2021, Creativity and cognition (C&C '21). United States: Association for Computing Machinery, (ACM International Conference Proceeding Series).Regenerating Soft Robots through Neural Cellular Automata
Kazuya Horibe, 1 May 2021, In: EVOSTAR 2021.Player-AI Interaction: What Neural Network Games Reveal About AI as Play
Zhu, J., Villareale, J., Javvaji, N., Risi, S., Löwe, M., Weigelt, R. & Harteveld, C., May 2021, CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 77EvoCraft: A New Challenge for Open-Endedness
Grbic, D., Berg Palm, R., Najarro, E., Glanois, C. & Risi, S., 1 Apr 2021, In: Applications of Evolutionary Computation. 1, 15 p.Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures
Risi, S. & Stanley, K. O., 2021, Proceedings of the AAAI Conference on Artificial Intelligence. 14 ed. AAAI Press, Vol. 35. p. 12391-12399 9 p.Evolutionary Planning in Latent Space
Olesen, T. V. A. N., Nguyen, D. T. T., Berg Palm, R. & Risi, S., 2021, International Conference on the Applications of Evolutionary Computation . EvoStarFast Game Content Adaptation Through Bayesian-based Player Modelling
González-Duque, M., Berg Palm, R. & Risi, S., 2021, In: Proceedings of the 2021 IEEE Conference on Games (CoG).Improving Object Detection in Art Images Using Only Style Transfer
Kadish, D., Risi, S. & Løvlie, A. S., 2021, In: 2021 International Joint Conference on Neural Networks (IJCNN).Rapid Risk Minimization with Bayesian Models Through Deep Learning Approximation
Löwe, M., Lunnemann, P. & Risi, S., 2021.Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning
Palm, R. B., Najarro, E. & Risi, S., 2021, In: Proceedings of Machine Learning Research. 148Meta-Learning through Hebbian Plasticity in Random Networks
Najarro, E. & Risi, S., 7 Dec 2020, In: Advances in Neural Information Processing Systems. 33Squeezer - A Tool for Designing Juicy Effects
Johansen, M., Pichlmair, M. & Risi, S., 2 Nov 2020, CHI PLAY '20: Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play. Association for Computing Machinery, p. 282–286 4 p.iNNk: A Multi-Player Game to Deceive a Neural Network
Villareale, J., Acosta-Ruiz, A. V., Arcaro, S. A., Fox, T., Freed, E., Gray, R. C., Löwe, M., Nuchprayoon, P., Sladek, A., Weigelt, R., Li, Y., Risi, S. & Zhu, J., 1 Nov 2020, CHI PLAY '20: Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play. p. 33-37 4 p.Adapting to a changing environment: Simulating the effects of noise on animal sonification
Kadish, D. & Risi, S., 14 Jul 2020, ALIFE 2020: The 2020 Conference on Artificial Life. Bongard, J., J. L., Hebert-Dufrésne, L., Dasari, R. & Soros, L. (eds.). 32 ed. MIT Press, p. 687-695 9 p. (Artificial Life Conference Proceedings ).Safe Reinforcement Learning through Meta-learned Instincts
Grbic, D. & Risi, S., 13 Jul 2020, ALIFE 2020: The 2020 Conference on Artificial Life. 32 ed. MIT Press, p. 183-291 8 p. (Artificial Life Conference Proceedings ).Evolving HyperNetworks for Game-Playing Agents
Carvelli, C., Grbic, D. & Risi, S., 8 Jul 2020, GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, p. 71-72 2 p.Safer reinforcement learning through evolved instincts
Grbic, D. & Risi, S., Jul 2020, GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, p. 77-78 2 p.CG-GAN: An Interactive Evolutionary GAN-Based Approach for Facial Composite Generation
Zaltron, N., Zurlo, L. & Risi, S., 1 Apr 2020, Proceedings of the AAAI Conference on Artificial Intelligence. 03 ed. Association for the Advancement of Artificial Intelligence, Vol. 34. p. 2544-2551 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence).Bootstrapping Conditional GANs for Video Game Level Generation
Torrado, R. R., Khalifa, A., Green, M. C., Justesen, N., Risi, S. & Togelius, J., 2020, 2020 IEEE Conference on Games (CoG). IEEE, Vol. 1. p. 41-48 8 p.CPPN2GAN: Combining Compositional Pattern Producing Networks and GANs for Large-Scale Pattern Generation
Schrum, J., Volz, V. & Risi, S., 2020, Proceedings of the 2020 Genetic and Evolutionary Computation Conference. New York, NY, USA: Association for Computing Machinery, p. 139–147 (GECCO '20).Crea.Blender: A Neural Network-Based Image Generation Game to Assess Creativity
Rafner, J., Hjorth, A., Risi, S., Philipsen, L., Dumas, C., Biskjær, M. M., Noy, L., Tylén, K., Bergenholtz, C., Lynch, J., Zana, B. & Sherson, J., 2020, Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play. New York, NY, USA: Association for Computing Machinery, p. 340–344Deep learning for procedural content generation
Liu, J., Snodgrass, S., Khalifa, A., Risi, S., Yannakakis, G. N. & Togelius, J., 2020, In: Neural Computing and Applications. 33, p. 19–37 19 p.Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-Error
González-Duque, M., Berg Palm, R., Ha, D. & Risi, S., 2020, Proceedings of the 2020 IEEE Conference on Games (CoG). IEEE, p. 503-510 8 p.From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI
Risi, S. & Preuss, M., 2020, In: KI - Künstliche Intelligenz. 34, 1, p. 7-17 11 p.Increasing generality in machine learning through procedural content generation
Risi, S. & Togelius, J., 2020, In: Nature Machine Intelligence. 2, 8, p. 428-436 9 p.Interactive Evolution and Exploration within Latent Level-Design Space of Generative Adversarial Networks
Schrum, J., Gutierrez, J., Volz, V., Liu, J., Lucas, S. & Risi, S., 2020, Proceedings of the 2020 Genetic and Evolutionary Computation Conference. New York, NY, USA: Association for Computing Machinery, p. 148–156Learning a Behavioral Repertoire from Demonstrations
Justesen, N., González-Duque, M., Cabarcas, D., Mouret, J-B. & Risi, S., 2020, Proceedings of the 2020 IEEE Conference on Games. IEEE, p. 383-390 8 p.Video Game Description Language Environment for Unity Machine Learning Agents
Johansen, M., Pichlmair, M. & Risi, S., 1 Aug 2019, 2019 IEEE Conference on Games (CoG). IEEE, 8 p.Towards Continual Reinforcement Learning through Evolutionary Meta-Learning
Grbic, D. & Risi, S., 17 Jul 2019, Towards Continual Reinforcement Learning through Evolutionary Meta-Learning. 2019 ed. New York, NY, USA: Association for Computing Machinery, Vol. Proceedings of the Genetic and Evolutionary Computation Conference Companion. p. 119-120 2 p.Learning Abstract Forward Models
Perez, D., Risi, S., Liapis, A., Preuss, M., Simon, L., Richoux, F., Burelli, P. & Nelson, M., 27 Jun 2019, National Institute of Informatics. 2 p.An artificial life approach to studying niche differentiation in soundscape ecology
Kadish, D., Risi, S. & Beloff, L., 2019, The 2019 Conference on Artificial Life: A Hybrid of the European Conference on Artificial Life (ECAL) and the International Conference on the Synthesis and Simulation of Living Systems (ALIFE). MIT Press, p. 52-59 8 p.Blood bowl: A new board game challenge and competition for AI
Justesen, N., Uth, L. M., Jakobsen, C., Moore, P. D., Togelius, J. & Risi, S., 2019, 2019 IEEE Conference on Games (CoG). IEEE, p. 1-8 8 p.Deep learning for video game playing
Justesen, N., Bontrager, P., Togelius, J. & Risi, S., 2019, In: IEEE Transactions on Games.Deep Neuroevolution of Recurrent and Discrete World Models
Risi, S. & Stanley, K., 2019, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery, p. 456-462MAP-Elites for noisy domains by adaptive sampling
Justesen, N., Risi, S. & Mouret, J-B., 2019, Proceedings of the Genetic and Evolutionary Computation Conference Companion: GECCO '19. Association for Computing Machinery, p. 121-122 2 p.When Are We Done with Games?
Justesen, N. O., Debus, M. S. & Risi, S., 2019, IEEE Conference on Games. IEEEEvolution of Fin Undulation on a Physical Knifefish-inspired Soft Robot
Veenstra, F., Jørgensen, J. & Risi, S., 15 Jul 2018, GECCO ’18: Genetic and Evolutionary Computation Conference, July 15–19, 2018, Kyoto, Japan. Sartor, J. B., D’Hondt, T. & De Meuter, W. (eds.). New York, NY. USA: Association for Computing Machinery, 8 p.Towards a Plant Bio-Machine
Nichele, S., Risi, S., Tufte, G. & Beloff, L., 8 Feb 2018, IEEE Alife conference (SSCI) proceedings. IEEE, p. 1-8 8 p. 17544442A Robot to Shape your Natural Plant: The Machine Learning Approach to Model and Control Bio-Hybrid Systems
Wahby, M., Heinrich, M. K., Hofstadler, D. N., Zahadat, P., Risi, S., Ayres, P., Schmickl, T. & Hamann, H., 2018, Proceedings of the Conference on Genetic and Evolutionary Computation (GECCO 2018). Association for Computing Machinery, p. 165-172Automated Curriculum Learning by Rewarding Temporally Rare Events
Justesen, N. & Risi, S., 2018, 2018 IEEE Conference on Computational Intelligence and Games. IEEE, p. 293-300 8 p.Blood Bowl: The Next Board Game Challenge for AI
Justesen, N., Risi, S. & Togelius, J., 2018, Blood Bowl: The Next Board Game Challenge for AI. Association for Computing Machinery, 2 p.Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks
Soltoggio, A., Stanley, K. O. & Risi, S., 2018, In: Neural Networks. 108, p. 48-67Collaborative interactive evolution in minecraft
de Prado Salas, P. G. & Risi, S., 2018, Proceedings of the Genetic and Evolutionary Computation Conference Companion: GECCO '18. Association for Computing Machinery, p. 127-128 2 p.Deep interactive evolution
Bontrager, P., Lin, W., Togelius, J. & Risi, S., 2018, International Conference on Computational Intelligence in Music, Sound, Art and Design: EvoMUSART 2018. Springer, p. 267-282 16 p. (Lecture Notes in Computer Science, Vol. 10783).EuroGP 2018 panel debate: genetic programming in the era of deep neural networks
Machado, P., O'Reilly, U-M., Gori, M. & Risi, S., 2018, In: ACM SIGEVOlution. 11, 2, p. 3-6 4 p.Evolutionary computation and games tutorial
Togelius, J., Risi, S. & Yannakakis, G., 2018, Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, p. 584-618 35 p.Evolving in-game mood-expressive music with MetaCompose
Scirea, M., Eklund, P., Togelius, J. & Risi, S., 2018, AM'18 Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion. 8 ed. Wrexham, United Kingdom: Association for Computing Machinery, Vol. 1. 8. ( Audio Mostly).Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
Volz, V., Schrum, J., Liu, J., Lucas, S. M., Smith, A. & Risi, S., 2018, Proceedings of the Genetic and Evolutionary Computation Conference: GECCO '18. Association for Computing Machinery, p. 221-228Explainable AI for designers: A human-centered perspective on mixed-initiative co-creation
Zhu, J., Liapis, A., Risi, S., Bidarra, R. & Youngblood, G. M., 2018, 2018 IEEE Conference on Computational Intelligence and Games (CIG). IEEE, p. 1-8 8 p.HyperNTM: Evolving Scalable Neural Turing Machines Through HyperNEAT
Merrild, J., Rasmussen, M. A. & Risi, S., 2018, International Conference on the Applications of Evolutionary Computation: EvoApplications 2018. Springer, p. 750-766 17 p. (Lecture Notes in Computer Science, Vol. 10784).Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation
Justesen, N., Torrado, R. R., Bontrager, P., Khalifa, A., Togelius, J. & Risi, S., 2018.Intrinsic Mortality Governs Evolvability
Veenstra, F., de Prado Salas, P. G., Bongard, J., Stoy, K. & Risi, S., 2018, Artificial Life Conference Proceedings: ALIFE 2018. MIT Press, p. 242-249 8 p.Towards an experiment on perception of affective music generation using MetaCompose
Scirea, M., Eklund, P., Togelius, J. & Risi, S., 2018, GECCO '18 Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York, NY, USA: Association for Computing Machinery, p. 131-132Primal-improv: Towards co-evolutionary musical improvisation
Scirea, M., Eklund, P., Togelius, J. & Risi, S., 1 Sep 2017, 2017 9th Computer Science and Electronic Engineering (CEEC). IEEE, p. 172-177 6 p.Continual Online Evolutionary Planning for In-Game Build Order Adaptation in StarCraft
Justesen, N. O. & Risi, S., 16 Jul 2017, GECCO ’17 Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery, p. 187-194Evolving Simulated Modular Robots
Veenstra, F., Faina, A., Støy, K. & Risi, S., 15 Jul 2017. 1 p.Affective evolutionary music composition with MetaCompose
Scirea, M., Togelius, J., Eklund, P. & Risi, S., 12 Jun 2017, In: Genetic Programming and Evolvable Machines. p. 1-33Evolution and Morphogenesis of Simulated Modular Robots: A Comparison Between a Direct and Generative Encoding
Veenstra, F., Faina, A., Risi, S. & Støy, K., 25 Jan 2017, Applications of Evolutionary Computation: 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part I. Springer, 16 p. (Lecture Notes in Computer Science, Vol. 10199).1D Printing of Recyclable Robots
Cellucci, D., MacCurdy, R., Lipson, H. & Risi, S., 2017, In: IEEE Robotics and Automation Letters. 2, 4, p. 1964-1971 8 p.A deep learning / neuroevolution hybrid for visual control
Poulsen, A. P., Thorhauge, M., Funch, M. H. & Risi, S., 2017, GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, p. 93-94 2 p.Automating the Incremental Evolution of Controllers for Physical Robots
Faina, A., Jacobsen, L. T. & Risi, S., 2017, In: Artificial Life. 23, 2, p. 142-168 27 p.Can You Feel It?: Evaluation of Affective Expression in Music Generated by MetaCompose
Scirea, M., Eklund, P., Togelius, J. & Risi, S., 2017, In: GECCO '17. p. 211-218 8 p.CA-NEAT: Evolved Compositional Pattern Producing Networks for Cellular Automata Morphogenesis and Replication
Nichele, S., Ose, M. B., Risi, S. & Tufte, G., 2017, In: IEEE Transactions on Cognitive and Developmental Systems.Continual and One-Shot Learning Through Neural Networks with Dynamic External Memory
Lüders, B., Schläger, M., Korach, A. & Risi, S., 2017, European Conference on the Applications of Evolutionary Computation. Springer, p. 886-901 16 p. (Lecture Notes in Computer Science, Vol. 10199).DLNE: A hybridization of deep learning and neuroevolution for visual control
Poulsen, A. P., Thorhauge, M., Funch, M. H. & Risi, S., 2017, Computational Intelligence and Games (CIG), 2017 IEEE Conference on. IEEE Press, p. 256-263 8 p.Interactive Evolution of Complex Behaviours Through Skill Encapsulation
González de Prado Salas, P. & Risi, S., 2017, Applications of Evolutionary Computation. EvoApplications 2017: European Conference on the Applications of Evolutionary Computation. Squillero, G. & Sim, K. (eds.). Springer, p. 853-869 (Lecture Notes in Computer Science, Vol. 10199).Learning macromanagement in starcraft from replays using deep learning
Justesen, N. & Risi, S., 2017, Computational Intelligence and Games (CIG), 2017 IEEE Conference on. IEEE, p. 162-169 8 p.Playing Multi-Action Adversarial Games: Online Evolutionary Planning versus Tree Search
Justesen, N., Mahlmann, T., Risi, S. & Togelius, J., 2017, In: IEEE Transactions on Computational Intelligence and AI in Games. p. 281-291 10 p.Toward energy Autonomy in heterogeneous Modular Plant-Inspired Robots through Artificial evolution
Veenstra, F., Metayer, C., Risi, S. & Stoy, K., 2017, In: Frontiers in Robotics and AI. 4, 15 p., 43.Generating Artificial Plant Morphologies for Function and Aesthetics through Evolving L-Systems
Veenstra, F., Faina, A., Støy, K. & Risi, S., 4 Jul 2016, Proceedings of the Artificial Life Conference 2016. MIT Press, p. 692-699 8 p. 130Creative Generation of 3D Objects with Deep Learning and Innovation Engines
Lehman, J. A., Risi, S. & Clune, J., 30 Jun 2016, Proceedings of the Seventh International Conference on Computational Creativity: ICCC 2016. Sony CSL Paris, p. 180-187MetaCompose: A Compositional Evolutionary Music Composer
Scirea, M., Togelius, J., Eklund, P. & Risi, S., Apr 2016, Evolutionary and Biologically Inspired Music, Sound, Art and Design: 5th International Conference, EvoMUSART 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings. Springer Publishing Company, p. 202-217 (Lecture Notes in Computer Science, Vol. 9596).Accelerating the Evolution of Cognitive Behaviors Through Human-Computer Collaboration
Löwe, M. & Risi, S., 2016, Proceedings of the Genetic and Evolutionary Computation Conference 2016. New York, NY, USA: Association for Computing Machinery, p. 133-140 8 p.Artefacts: Minecraft meets Collaborative Interactive Evolution
Patrascu, C. & Risi, S., 2016, Proceedings of the 2016 IEEE Conference on Computational Intelligence and Games. IEEE, p. 349-356Automatic Evolution of Multimodal Behavior with Multi-Brain HyperNEAT
Schrum, J., Lehman, J. & Risi, S., 2016, Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. New York, NY, USA: Association for Computing Machinery, p. 21-22 2 p.Breeding a Diversity of Super Mario Behaviors Through Interactive Evolution
Sørensen, P. D., Olsen, J. M. & Risi, S., 2016, Proceedings of the 2016 IEEE Conference on Computational Intelligence and Games. IEEE Computer Society Press, p. 357-363Continual Learning through Evolvable Neural Turing Machines
Lüders, B., Schläger, M. & Risi, S., 2016. 5 p.EvoCommander: A Novel Game Based on Evolving and Switching Between Artificial Brains
Jallov, D., Risi, S. & Togelius, J., 2016, In: IEEE Transactions on Computational Intelligence and AI in Games. 9, 2, p. 181-191 12 p.Evolving Neural Turing Machines for Reward-based Learning
Greve, R. B., Jacobsen, E. J., Risi, S. & Greve, R. B., 2016, Proceedings of the Genetic and Evolutionary Computation Conference 2016. New York, NY, USA: Association for Computing Machinery, p. 117-124 8 p.Interactive Super Mario Bros Evolution
Sørensen, P. D., Olsen, J. M. & Risi, S., 2016, Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. New York, NY, USA: Association for Computing Machinery, p. 41-42 2 p.Towards Adaptive Evolutionary Architecture
Bak, S. HO., Rask, N. & Risi, S., 2016, Proceedings of the 5th International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design - Volume 9596. New York, NY, USA: Springer Publishing Company, p. 47-62 16 p. (Lecture Notes in Informatics, Vol. 9596).WebAL Comes of Age: A review of the first 21 years of Artificial Life on the Web
Taylor, T., Auerbach, J. E., Bongard, J., Clune, J., Hickinbotham, S., Ofria, C., Oka, M., Risi, S., Stanley, K. O. & Yosinski, J., 2016, In: Artificial Life. 22, 3, p. 364-407Darwin's Avatars: a Novel Combination of Gameplay and Procedural Content Generation
Lessin, D. & Risi, S., 11 Jul 2015, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2015. Association for Computing Machinery, p. 329-336BrainCrafter: An investigation into human-based neural network engineering
Piskur, J., Greve, P., Togelius, J. & Risi, S., 1 May 2015, Evolutionary Computation (CEC), 2015 IEEE Congress on. IEEE, p. 2199-2206 8 p.Interactive evolution of levels for a competitive multiplayer FPS
Olsted, P. T., Ma, B. & Risi, S., 1 May 2015, Evolutionary Computation (CEC), 2015 IEEE Congress on. IEEE, p. 1527-1534 8 p.DrawCompileEvolve: Sparking interactive evolutionary art with human creations
Zhang, J., Taarnby, R., Liapis, A. & Risi, S., 2015, Evolutionary and Biologically Inspired Music, Sound, Art and Design : 4th International Conference, EvoMUSART 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings. Springer VS, Vol. 9027. p. 261-273 13 p. (Lecture Notes in Computer Science).Evolving self-organizing simulated plant-inspired robots
Veenstra, F., Faina, A., Støy, K. & Risi, S., 2015.Flora Robotica – Mixed Societies of Symbiotic Robot-Plant Bio-Hybrids
Hamann, H., Wahby, M., Schmickl, T., Zahadat, P., Hofstadler, D., Støy, K., Risi, S., Faina, A., Veenstra, F., Kernbach, S., Kuksin, I., Kernbach, O., Ayers, P. & Wojtaszek, P., 2015, Computational Intelligence, 2015 IEEE Symposium Series on. IEEE, p. 1102-1109 8 p.Interactively Evolving Compositional Sound Synthesis Networks
Jónsson, B. Þ., Hoover, A. K. & Risi, S., 2015, Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation: GECCO '15. New York, NY, USA: Association for Computing Machinery, p. 321-328 8 p.Investigating MCTS Modifications in General Video Game Playing
Frydenberg, F., Andersen, K., Risi, S. & Togelius, J., 2015, Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games. IEEE Computer Society Press, p. 107-113Monte-Carlo Tree Search for Simulated Car Racing
Fischer, J., Falsted, N., Vielwerth, M., Togelius, J. & Risi, S., 2015, Proceedings of the 10th International Conference on the Foundations of Digital Games (FDG 2015), June 22-25, 2015, Pacific Grove, CA, USA. Association for Computing Machinery, 5 p.Neuroevolution in Games: State of the Art and Open Challenges
Risi, S. & Togelius, J., 2015, In: I E E E Transactions on Computational Intelligence and A I in Games. 9, 1, p. 25-41 17 p.Petalz: Search-based Procedural Content Generation for the Casual Gamer
Risi, S., Lehman, J., D'Ambrosio, D. B., Hall, R. & Stanley, K. O., 2015, In: I E E E Transactions on Computational Intelligence and A I in Games. PP, 99, p. 1-1 1 p.Soft-Body Muscles for Evolved Virtual Creatures: The Next Step on a Bio-Mimetic Path to Meaningful Morphological Complexity
Lessin, D. & Risi, S., 2015, Proceedings of the European Conference on Artificial Life (ECAL) 2015. MIT Press, p. 604–611An Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in AI
Lehman, J., Clune, J. & Risi, S., 2014, In: I E E E Intelligent Systems. 29, 6, p. 56-62Automatically Categorizing Procedurally Generated Content for Collecting Games
Risi, S., Lehman, J., D’Ambrosio, D. B. & Stanley, K. O., 2014, FDG 2014 Workshop Proceedings: Proceedings of Workshops Colocated with the 9th International Conference on the Foundations of Digital Games. New York, NY: Association for Computing Machinery, (Proceedings of the Workshop on Procedural Content Generation in Games (PCG) at the 9th International Conference on the Foundations of Digital Games (FDG-2014). ACM, New York, NY, USA).Guided Self-organization in Indirectly Encoded and Evolving Topographic Maps
Risi, S. & Stanley, K. O., 2014, Proceedings of the 2014 Conference on Genetic and Evolutionary Computation. Association for Computing Machinery, p. 713-720 8 p.Script-and Cluster-based UCT for StarCraft
Justesen, N. O., Tillman, B., Togelius, J. & Risi, S., 2014, Computational Intelligence and Games (CIG), 2014 IEEE Conference on. IEEE Press, p. 1-8 8 p.Single-unit pattern generators for quadruped locomotion
Morse, G., Risi, S., Snyder, C. R. & Stanley, K. O., 6 Jul 2013, Proceedings of the 15th annual conference on Genetic and evolutionary computation : GECCO '13. Association for Computing Machinery, p. 719-726 8 p.Generating Flower Images and Shapes with Compositional Pattern Producing Networks
Stanley, K. O., Risi, S., Lehman, J., Hoover, A. K. & D'ambrosio, D., 1 Apr 2013A Compiler for CPPNs: Transforming Phenotypic Descriptions Into Genotypic Representations
Risi, S., 2013, 2013 AAAI Fall Symposium Series - How Should Intelligence be Abstracted in AI Research.. 7 p.Confronting the challenge of learning a flexible neural controller for a diversity of morphologies
Risi, S. & Stanley, K. O., 2013, Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference. Association for Computing Machinery, p. 255-262 8 p.Encouraging reactivity to create robust machines
Lehman, J., Risi, S., D'Ambrosio, D. & Stanley, K. O., 2013, In: Adaptive Behavior. 21, 6, p. 484-500Ribosomal robots: Evolved designs inspired by protein folding
Risi, S., Cellucci, D. & Lipson, H., 2013, Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference: GECCO '13. Association for Computing Machinery, p. 263-270 8 p.A unified approach to evolving plasticity and neural geometry
Risi, S. & Stanley, K. O., 2012, Neural Networks (IJCNN), The 2012 International Joint Conference on. p. 1-8 8 p.An enhanced hypercube-based encoding for evolving the placement, density, and connectivity of neurons
Risi, S. & Stanley, K. O., 2012, In: Artificial Life. 18, 4, p. 331-363 33 p.Combining Search-Based Procedural Content Generation and Social Gaming in the Petalz Video Game.
Risi, S., Lehman, J., D'Ambrosio, D. B., Hall, R. & Stanley, K. O., 2012, AIIDE.Multirobot behavior synchronization through direct neural network communication
D’Ambrosio, D. B., Goodell, S., Lehman, J., Risi, S. & Stanley, K. O., 2012, Intelligent Robotics and Applications. Springer, p. 603-614 12 p.On the Benefits of Divergent Search for Evolved Representations
Lehman, J., Risi, S. & Stanley, K. O., 2012, Proceedings of the EvoNet2012 Workshop at the Thirteenth International Conference on Artificial Life (ALIFE XIII). 4 p. (Proceedings of the EvoNet 2012 Workshop at ALIFE XIII ).Enhancing es-hyperneat to evolve more complex regular neural networks
Risi, S. & Stanley, K. O., 2011, Proceedings of the 13th annual conference on Genetic and evolutionary computation. p. 1539-1546 8 p.Task switching in multirobot learning through indirect encoding
D'Ambrosio, D. B., Lehman, J., Risi, S. & Stanley, K. O., 2011, Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on. p. 2802-2809 8 p.Evolving plastic neural networks with novelty search
Risi, S., Hughes, C. E. & Stanley, K. O., 2010, In: Adaptive Behavior. 18, 6, p. 470-491 22 p.Evolving policy geometry for scalable multiagent learning
D'Ambrosio, D. B., Lehman, J., Risi, S. & Stanley, K. O., 2010, Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1-Volume 1. p. 731-738 8 p.Evolving the placement and density of neurons in the hyperneat substrate
Risi, S., Lehman, J. & Stanley, K. O., 2010, Proceedings of the 12th annual conference on Genetic and evolutionary computation. p. 563-570 8 p.Indirectly encoding neural plasticity as a pattern of local rules
Risi, S. & Stanley, K. O., 2010, From Animals to Animats 11. Springer, p. 533-543 11 p.How novelty search escapes the deceptive trap of learning to learn
Risi, S., Vanderbleek, S. D., Hughes, C. E. & Stanley, K. O., 2009, Proceedings of the 11th Annual conference on Genetic and evolutionary computation. p. 153-160 8 p.Visualization and clustering of tagged music data
Lehwark, P., Risi, S. & Ultsch, A., 2008, Data Analysis, Machine Learning and Applications. Springer, p. 673-680 8 p.Visual mining in music collections with emergent SOM
Risi, S., Mörchen, F., Ultsch, A. & Lewark, P., 2007, In: Proceedings Workshop on Self-Organizing Maps (WSOM’07). p. 3-6 4 p.ID: 39342290