neural networks research group
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Filter by Subareas
This category includes work that contributes to areas other than those specifically identified in our area hierarchy, including the general subareas listed below, as well as competitive multiagent search, and the OpenNERO software for AI education and research.
Subareas of Other Areas
Supervised Learning Reinforcement Learning Unsupervised Learning, Clustering, and Self-Organization Algorithm Portfolios
Publications
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Neuroevolution: Harnessing Creativity in AI Model Design Sebastian Risi, David Ha, Yujin Tang, Risto Miikkulainen To Appear In , Cambridge, MA, 2025. MIT Press. 2025
Semantic Density: Uncertainty Quantification in Semantic Space for Large Language Models Xin Qiu, Risto Miikkulainen In Proceedings of the 38th Conference on Neural Information Processing Systems, 2024. (also... 2024
Generative AI: An AI Paradigm Shift in the Making? Risto Miikkulainen AI Magazine:1-3, February 2024. https://doi.org/10.1002/aaai.12155. 2024
NeuroComb: Improving SAT Solving with Graph Neural Networks Wenxi Wang, Yang Hu, Mohit Tiwari, Sarfraz Khurshid, Kenneth McMillan, Risto Miikkulainen In Proceedings of the International Conference on Learning Representations, 2024. (also arX... 2024
Pandemic Resilience: Developing an AI-calibrated Ensemble of Models to Inform Decision Making GPAI Technical Report, Global Partnership on Artificial Intelligence, December 2023. 2023
Efficient Activation Function Optimization through Surrogate Modeling Garrett Bingham and Risto Miikkulainen In Proceedings of the 23rd Conference on Neural Information Processing Systems (NeurIPS 2023)... 2023
Evolutionary Supervised Machine Learning Risto Miikkulainen In W. Banzhaf, P. Machado, and M. Zhang, editors, Handbook of Evolutionary Machine Learning, ... 2023
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks Garrett Bingham and Risto Miikkulainen In Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023. (also arXiv:20... 2023
Evolving Strategies for Competitive Multi-Agent Search Erkin Bahceci, Riitta Katila, and Risto Miikkulainen arXiv:2306.10640, 2023. 2023
Discovering Parametric Activation Functions Garrett Bingham and Risto Miikkulainen Neural Networks, 148:48-65, 2022. 2022
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model Xin Qiu and Risto Miikkulainen In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-2022), 2022. (A... 2022
Evaluating Medical Aesthetics Treatments through Evolved Age-Estimation Models Risto Miikkulainen, Elliot Meyerson, Xin Qiu, Ujjayant Sinha, Raghav Kumar, Karen Hofmann, Yiyang Ma... In Proceedings of the Genetic and Evolutionary Computation Conference, 1009–1017, 2021. 2021
Regularized Evolutionary Population-Based Training Jason Liang, Santiago Gonzalez, Hormoz Shahrzad, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 323-331, 2021. 2021
Optimizing Loss Functions Through Multivariate Taylor Polynomial Parameterization Santiago Gonzalez and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 305-313, 2021. 2021
Generalization of Agent Behavior through Explicit Representation of Context Cem Tutum, Suhaib Abdulquddos, Risto Miikkulainen In Proceedings of the 3rd IEEE Conference on Games( ), 2021. 2021
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings Elliot Meyerson and Risto Miikkulainen To Appear In International Conference on Learning Representations, 2021. 2021
Predicting language treatment response in bilingual aphasia using neural network-based patient models Uli Grasemann, Claudia Peñaloza, Maria Dekhtyar, Risto Miikkulainen, and Swathi Kiran Scientific Reports, 11(10497):1-11, 2021. 2021
Improving Neural Network Learning Through Dual Variable Learning Rates Elizabeth Liner, Risto Miikkulainen In Proceedings of the International Joint Conference on Neural Networks, 2021. 2021
Effective Regularization Through Loss-Function Metalearning Santiago Gonzalez and Risto Miikkulainen In arXiv:2010.00788, 2021. 2021
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization Santiago Gonzalez and Risto Miikkulainen In Proceedings of the 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, July 2020. 2020
Evolutionary Optimization of Deep Learning Activation Functions Garrett Bingham, William Macke, and Risto Miikkulainen In Genetic and Evolutionary Computation Conference (GECCO '20), 289-296, Cancun, Mexico, 20... 2020
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel Xin Qiu, Elliot Meyerson, Risto Miikkulainen In International Conference on Learning Representations, 2020. 2020
From Nodes to Networks: Evolving Recurrent Neural Networks Aditya Rawal, Risto Miikkulainen In H. Iba and N. Noman, editors, Deep Neural Evolution: Deep Learning with Evolutionary Computati... 2020
Improving Deep Learning Through Loss-Function Evolution Santiago Gonzalez PhD Thesis, Department of Computer Science, The University of Texas at Austin, 2020. 2020
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings Elliot Meyerson and Risto Miikkulainen arxiv:2010.02354, October 2020. 2020
Adapting to Unseen Environments through Explicit Representation of Context Cem C Tutum, Risto Miikkulainen In Proceedings of the 2020 Conference on Artificial Life (ALIFE 2020), 581--588, Montreal, Ca... 2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Horm... In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2020), 2020. 2020
A Comparison of the Taguchi Method and Evolutionary Optimization in Multivariate Testing Jingbo Jiang, Diego Legrand, Robert Severn, and Risto Miikkulainen In Proceedings of the 2020 IEEE Congress on Evolutionary Computation, 2020. 2020
Evolving Deep Neural Networks Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju... In Robert Kozma, Cesare Alippi, Yoonsuck Choe, and Francesco Carlo Morabito, editors, Artificial ... 2019
Faster Training by Selecting Samples Using Embeddings Santiago Gonzalez, Joshua Landgraf, and Risto Miikkulainen In Proceedings of the 2019 International Joint Conference on Neural Networks, 1-7, Budapest, ... 2019
Flavor-cyber-agriculture: Optimization of plant metabolites in an open-source control environment through surrogate modeling Arielle J. Johnson, Elliot Meyerson, John de la Parra, Timothy L. Savas, Risto Miikkulainen, Caleb B... bioRxiv:424226, , 2019. 2019
BiLex: A computational approach to the effects of age of acquisition and language exposure on bilingual lexical access Claudia Peñaloza, Uli Grasemann, Maria Dekhtyar, Risto Miikkulainen, and Swathi Kiran Brain and Language, 195(104643), 2019. 2019
Better Future through AI: Avoiding Pitfalls and Guiding AI Towards its Full Potential Risto Miikkulainen, Bret Greenstein, Babak Hodjat, Jerry Smith arxiv:1905.13178, 2019. 2019
Object-model transfer in the general video game domain Alexander Braylan Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, Texas, 2... 2019
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back Elliot Meyerson, Risto Miikkulainen In Proceedings of the 35th International Conference on Machine Learning, 739-748, 2018. 2018
Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play Reza Mahjourian PhD Thesis, University of Texas at Austin, 2018. 2018
Discovering Gated Recurrent Neural Network Architectures Aditya Rawal PhD Thesis, Department of Computer Science, The University of Texas at Austin, Austin, TX 78712, 201... 2018
Learning Useful Features For Poker Arjun Nagineni Technical Report, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 20... 2018
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering Elliot Meyerson and Risto Miikkulainen In Proceedings of the Sixth International Conference on Learning Representations (ICLR), Vanc... 2018
Efficient Sampling for Design Optimization of an SLS Product Nancy Xu, Cem C. Tutum In Proceedings of the 28th Annual International Solid Freeform Fabrication Symposium, 12, Aus... 2017
Surrogate-based Evolutionary Optimization for Friction Stir Welding Cem C Tutum, Shaayaan Sayed and Risto Miikkulainen In Proceedings of IEEE World Congress on Computational Intelligence (WCCI 2016), 8 pages, Van... 2016
Solving Multiple Isolated, Interleaved, and Blended Tasks through Modular Neuroevolution Jacob Schrum and Risto Miikkulainen Evolutionary Computation, 24(3):459--490, September 2016. MIT Press. 2016
Machines Are Becoming More Creative Than Humans Risto Miikkulainen VentureBeat, 2016/04/03, 2016. 2016
Constructing Game Agents Through Simulated Evolution Jacob Schrum and Risto Miikkulainen In Newton Lee, editors, Encyclopedia of Computer Graphics and Games, 1--10, 2016. Springer. 2016
Evolving Deep LSTM-based Memory networks using an Information Maximization Objective Aditya Rawal and Risto Miikkulainen To Appear In Genetic and Evolutionary Computation Conference (GECCO 2016), Colorado, USA, 201... 2016
Solving Interleaved and Blended Sequential Decision-Making Problems through Modular Neuroevolution Jacob Schrum and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), 345--352,... 2015
Sensorimotor Embedding: A Developmental Approach to Learning Geometry Jeremy Stober PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, May 2015... 2015
GRADE: Machine Learning Support for Graduate Admissions Austin Waters, Risto Miikkulainen AI Magazine, 35:64-75, 2014. 2014
Evolving Multimodal Behavior With Modular Neural Networks in Ms. Pac-Man Jacob Schrum and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014), 325--332,... 2014
Evolving Multimodal Behavior Through Modular Multiobjective Neuroevolution Jacob Schrum PhD Thesis, The University of Texas at Austin, Austin, TX 78712, May 2014. Tech Report TR-14-07. 2014
Infinite-Word Topic Models for Digital Media Austin Waters PhD Thesis, Department of Computer Science, The University of Texas at Austin, 2014. 2014
GRADE: Machine Learning Support for Graduate Admissions Austin Waters, Risto Miikkulainen In Proceedings of the 25th Conference on Innovative Applications of Artificial Intelligence, ... 2013
Evolutionary Feature Evaluation for Online Reinforcement Learning Julian Bishop and Risto Miikkulainen In Proceedings of 2013 IEEE Conference on Computational Intelligence and Games (CIG2013), 267... 2013
Surviving Solver Sensitivity: An ASP Practitioner's Guide Bryan Silverthorn, Yuliya Lierler and Marius Schneider In International Conference on Logic Programming (ICLP), 2012. 2012
Accelerating Evolution via Egalitarian Social Learning Wesley Tansey, Eliana Feasley, and Risto Miikkulainen In Proceedings of the 14th Annual Genetic and Evolutionary Computation Conference (GECCO 2012) 2012
A Probabilistic Architecture for Algorithm Portfolios Bryan Silverthorn PhD Thesis, Department of Computer Science, The University of Texas at Austin, 2012. 2012
Evolution of a Communication Code in Cooperative Tasks Aditya Rawal, Padmini Rajagopalan, Risto Miikkulainen and Kay Holekamp In Artificial Life (13th International Conference on the Synthesis and Simulation of Living Syste... 2012
Evolving Multimodal Networks for Multitask Games Jacob Schrum and Risto Miikkulainen In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), 102... 2011
UT^2: Human-like Behavior via Neuroevolution of Combat Behavior and Replay of Human Traces Jacob Schrum, Igor V. Karpov and Risto Miikkulainen In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), 329... 2011
Human-Assisted Neuroevolution Through Shaping, Advice and Examples Igor V. Karpov, Vinod K. Valsalam and Risto Miikkulainen In Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference (GECCO 2011) 2011
Evolving Agent Behavior In Multiobjective Domains Using Fitness-Based Shaping Jacob Schrum and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010), 439--446,... 2010
Latent Class Models for Algorithm Portfolio Methods Bryan Silverthorn and Risto Miikkulainen In Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010. 2010
Spherical Topic Models Joseph Reisinger, Austin Waters, Bryan Silverthorn, and Raymond J. Mooney In Proceedings of the 27th International Conference on Machine Learning (ICML 2010), 2010. 2010
Neuroevolution Risto Miikkulainen In Encyclopedia of Machine Learning, New York, 2010. Springer. 2010
Temporal Convolution Machines for Sequence Learning Alan J Lockett and Risto Miikkulainen Technical Report AI-09-04, Department of Computer Sciences, the University of Texas at Austin, 2009. 2009
Spherical Topic Models Joseph Reisinger, Austin Waters, Bryan Silverthorn, and Raymond Mooney In NIPS'09 workshop: Applications for Topic Models: Text and Beyond, 2009. 2009
Learning in Fractured Problems for Constructive Neural Network Algorithms Nate Kohl PhD Thesis, Department of Computer Sciences, University of Texas at Austin, Austin, TX, 2009. 2009
Evolving Adaptive Intelligence: Using NeuroEvolution with Temporal Difference Methods in the Game Domain Nathaniel Tucker Technical Report HR-09-04, Department of Computer Science, The University of Texas at Austin., 2009. 2009
Online Kernel Selection for Bayesian Reinforcement Learning Joseph Reisinger and Peter Stone and Risto Miikkulainen In Proceedings of the Twenty-Fifth International Conference on Machine Learning, July 2008. 2008
Competition Between Reinforcement Learning Methods in a Predator-Prey Grid World Jacob Schrum Technical Report AI08-9, The University of Texas at Austin, Department of Computer Sciences, Novembe... 2008
Acquiring Evolvability through Adaptive Representations Joseph Reisinger and Risto Miikkulainen In Proceeedings of the Genetic and Evolutionary Computation Conference, 1045-1052, 2007. 2007
Detecting Motion in the Environment with a Moving Quadruped Robot Peggy Fidelman, Thayne Coffman and Risto Miikkulainen In Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi, editors, Ro... 2007
Coevolution of Role-Based Cooperation in Multi-Agent Systems Chern Han Yong and Risto Miikkulainen Technical Report AI07-338, Department of Computer Sciences, The University of Texas at Austin, 2007. 2007
Self-Organizing Distinctive State Abstraction Using Options Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen In Proceedings of the 7th International Conference on Epigenetic Robotics, 2007. 2007
Reinforcement Learning in High-Diameter, Continuous Environments Jefferson Provost PhD Thesis, Computer Sciences Department, University of Texas at Austin, Austin, TX, 2007. 2007
Self-Organization of Hierarchical Visual Maps with Feedback Connections Yiu Fai Sit and Risto Miikkulainen Neurocomputing, 69:1309-1312, 2006. 2006
Integration and Evaluation of Exploration-Based Learning in Games Igor V. Karpov, Thomas D'Silva, Craig Varrichio, Kenneth O. Stanley, Risto Miikkulainen In Proceedings of the {IEEE} Symposium on Computational Intelligence and Games, Reno, NV, 20... 2006
Bootstrap learning of foundational representations Bootstrap learning of foundational representations %RefShort% 2006
Developing navigation behavior through self-organizing distinctive state abstraction Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen Connection Science, 18:159-172, 2006. 2006
Associating Unseen Events: Semantically Mediated Formation of Episodic Associations Yaron Silberman, Risto Miikkulainen, and Shlomo Bentin Psychological Science, 16:161-166, 2005. 2005
Learning Basic Navigation for Personal Satellite Assistant Using Neuroevolution Yiu Fai Sit and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2005. 2005
Evolving Neural Network Ensembles for Control Problems David Pardoe, Michael Ryoo, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2005. 2005
Real-time Neuroevolution in the NERO Video Game Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen IEEE Transactions on Evolutionary Computation:653-668, 2005. IEEE. 2005
Neuroevolution of an Automobile Crash Warning System Kenneth Stanley, Nate Kohl, Rini Sherony, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2005. 2005
Constructing Good Learners Using Evolved Pattern Generators Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen In H.-G. Beyer and others, editors, Proceedings of the Genetic and Evolutionary Computation Confe... 2005
Towards an Empirical Measure of Evolvability Joseph Reisinger, Kenneth O. Stanley, Risto Miikkulainen In Genetic and Evolutionary Computation Conference {(GECCO2005)} Workshop Program, 257-264, W... 2005
Retaining Learned Behavior During Real-Time Neuroevolution Thomas D'Silva, Roy Janik, Michael Chrien, Kenneth O. Stanley and Risto Miikkulainen Artificial Intelligence and Interactive Digital Entertainment, 2005. American Association for... 2005
Effective Image Compression Using Evolved Wavelets Uli Grasemann and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2005. 2005
Real-Time Learning in the NERO Video Game Kenneth O. Stanley, Ryan Cornelius, Risto Miikkulainen, Thomas D'Silva, and Aliza Gold In Proceedings of the Artificial Intelligence and Interactive Digital Entertainment Conference (A... 2005
Evolving Neural Network Agents in the NERO Video Game Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen In Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games (CIG'05), P... 2005
Academic AI and Video Games: A Case Study of Incorporating Innovative Academic Research into a Video Game Prototype Aliza Gold In Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games (CIG'05), 2... 2005
Incorporating Advice into Evolution of Neural Networks Chern Han Yong, Kenneth O. Stanley, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2005), 2005. Lat... 2005
Evolving a Roving Eye for Go Kenneth O. Stanley and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004), Berlin, 2... 2004
Transfer of Neuroevolved Controllers in Unstable Domains Faustino J. Gomez and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, Berlin, 2004. Springer... 2004
Evolving Wavelets using a Coevolutionary Genetic Algorithm and Lifting Uli Grasemann and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 969-980, San Francisco... 2004
Exploiting Morphological Conventions for Genetic Reuse Kenneth O. Stanley, Joseph Reisinger, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference ({GECCO}-2004) Workshop Pr... 2004
Efficient Evolution of Neural Networks Through Complexification Kenneth O. Stanley PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, 2004. 2004
Competitive Coevolution through Evolutionary Complexification Kenneth O. Stanley and Risto Miikkulainen Journal of Artificial Intelligence Research, 21:63-100, 2004. 2004
Evolving Reusable Neural Modules Joseph Reisinger, Kenneth O. Stanley, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2004. 2004
Efficient Allele Fitness Assignment with Self-organizing Multi-agent System Adrian Agogino and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004) Workshop Progr... 2004
Self-Organizing Perceptual and Temporal Abstraction for Robot Reinforcement Learning Jefferson Provost, Benjamin J. Kuipers and Risto Miikkulainen In AAAI-04 Workshop on Learning and Planning in Markov Processes, 2004. 2004
The Constructivist Learning Architecture: A Model of Cognitive Development for Robust Autonomous Robots Harold H. Chaput PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, August 2004. Also Te... 2004
Characteristics of Forming Episodic Associations Between Words Yaron Silberman PhD Thesis, The Hebrew University of Jerusalem, Israel, 2004. 2004
The Role of Postsynaptic Potential Decay Rate in Neural Synchrony Yoonsuck Choe and Risto Miikkulainen Neurocomputing, 52-54:707-712, January 2003. 2003
A Taxonomy for Artificial Embryogeny Kenneth O. Stanley and Risto Miikkulainen Artificial Life, 9(2):93-130, 2003. 2003
Evolving Adaptive Neural Networks with and Without Adaptive Synapses Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen In Proceedings of the 2003 Congress on Evolutionary Computation, Piscataway, NJ, 2003. IEEE. 2003
Utilizing Domain Knowledge in Neuroevolution James Fan, Raymond Lau, and Risto Miikkulainen Proceedings of the Twentieth International Conference on Machine Learning (ICML-03, Was... 2003
Neuroevolution for Adaptive Teams Bobby D. Bryant and Risto Miikkulainen In Proceedings of the 2003 Congress on Evolutionary Computation (CEC 2003), 2194-2201, Pisca... 2003
Robust Non-Linear Control through Neuroevolution Faustino J. Gomez PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, 2003. 2003
Active Guidance for a Finless Rocket Using Neuroevolution Faustino J. Gomez and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2084-2095, San Francis... 2003
Achieving High-Level Functionality through Evolutionary Complexification Kenneth O. Stanley and Risto Miikkulainen In Proceedings of the AAAI-2003 Spring Symposium on Computational Synthesis, Stanford, CA, 20... 2003
Learning Concept Drift with a Committee of Decision Trees Kenneth O. Stanley Technical Report AI03-302, Department of Computer Sciences, The University of Texas at Austin, 2003. 2003
Evolving Neural Networks Through Augmenting Topologies Kenneth O. Stanley and Risto Miikkulainen Evolutionary Computation, 10(2):99-127, 2002. 2002
Eugenic Evolution Utilizing A Domain Model Matthew Alden, Aard-Jan van Kesteren, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2002), 279-286, ... 2002
Intelligent Process Control Utilizing Symbiotic Memetic Neuro-Evolution Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich In Proceedings of the 2002 Congress on Evolutionary Computation, 6, 2002. 2002
Adaptive Control Utilising Neural Swarming Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich In William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and... 2002
Numerical Optimization With Neuroevolution Brian Greer, Henri Hakonen, Risto Lahdelma, and Risto Miikkulainen In Proceedings of the 2002 Congress on Evolutionary Computation, 361-401, Piscataway, NJ, 20... 2002
Cultural Enhancement Of Neuroevolution Paul H. McQuesten PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 2002. Te... 2002
Continual Coevolution Through Complexification Kenneth O. Stanley and Risto Miikkulainen In William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and ... 2002
Efficient Evolution Of Neural Network Topologies Kenneth O. Stanley and Risto Miikkulainen In William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and ... 2002
Efficient Reinforcement Learning Through Evolving Neural Network Topologies Kenneth O. Stanley and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002), 9, San Fr... 2002
The Dominance Tournament Method of Monitoring Progress in Coevolution Kenneth O. Stanley and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference ({GECCO}-2002) Workshop Pr... 2002
Creating Melodies With Evolving Recurrent Neural Networks Chun-Chi J. Chen and Risto Miikkulainen In Proceedings of the {INNS-IEEE} International Joint Conference on Neural Networks, 2241-22... 2001
A Neuroevolution Method For Dynamic Resource Allocation On A Chip Multiprocessor Faustino J. Gomez, Doug Burger, and Risto Miikkulainen In Proceedings of the {INNS-IEEE} International Joint Conference on Neural Networks, 2355-23... 2001
Co-Evolving A Go-Playing Neural Network Alex Lubberts and Risto Miikkulainen In Coevolution: {T}urning Adaptive Algorithms Upon Themselves, Birds-of-a-Feather Workshop, Gene... 2001
Constrained Emergence Of Universals And Variation In Syllable Systems Melissa A. Redford, Chun Chi Chen, and Risto Miikkulainen Language and Speech:27-56, 2001. Manuscript. 2001
Abrupt And Gradual Sound Change In An Expanding Lexicon Melissa A. Redford and Risto Miikkulainen Technical Report AI01-289, Department of Computer Sciences, The University of Texas at Austin, 2001. 2001
Cooperative Coevolution Of Multi-Agent Systems Chern Han Yong and Risto Miikkulainen Technical Report AI07-338, Department of Computer Sciences, The University of Texas at Austin, 2001. 2001
Evolving Populations Of Expert Neural Networks Joseph Bruce and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 251-257, San Francisco... 2001
Applying ESP And Region Specialists To Neuro-Evolution For Go Andres Santiago Perez-Bergquist Technical Report TR-01-24, Department of Computer Science, University of Texas at Austin, 2001. 2001
Online Interactive Neuro-Evolution Adrian Agogino, Kenneth O. Stanley, and Risto Miikkulainen Neural Processing Letters:29-38, 2000. 2000
Neuro-Evolution And Natural Deduction Nirav S. Desai and Risto Miikkulainen In Proceedings of The First {IEEE} Symposium on Combinations of Evolutionary Computation and Neu... 2000
Eugenic Neuro-Evolution For Reinforcement Learning Daniel Polani and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), 1041-1046... 2000
Solving Non-Markovian Control Tasks With Neuroevolution Faustino J. Gomez and Risto Miikkulainen In Proceedings of the International Joint Conference on Artificial Intelligence, 1356-1361, S... 1999
Confidence Based Dual Reinforcement Q-Routing: An Adaptive On-Line Routing Algorithm Shailesh Kumar and Risto Miikkulainen In 16th International Joint Conference on Artificial Intelligence (IJCAI-99), 758--763, Stock... 1999
Hierarchical Evolution Of Neural Networks David E. Moriarty and Risto Miikkulainen In Proceedings of the 1998 IEEE Conference on Evolutionary Computation (ICEC98), 428-433, Anc... 1998
Eugenic Evolution For Combinatorial Optimization John W. Prior Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, 1998. 126. Techn... 1998
Modeling The Emergence Of Syllable Systems Melissa A. Redford, Chun Chi Chen, and Risto Miikkulainen In Morton Ann Gernsbacher and Sharon J. Derry, editors, Proceedings of the 20th Annual Conference... 1998
Evolving Neural Networks To Play Go Norman Richards, David Moriarty, and Risto Miikkulainen In Thomas B{"a}ck, editors, Proceedings of the Seventh International Conference on Genetic Algori... 1998
2-D Pole Balancing With Recurrent Evolutionary Networks Faustino Gomez and Risto Miikkulainen In Proceedings of the International Conference on Artificial Neural Networks (ICANN-98), 425-... 1998
Confidence Based Dual Reinforcement Q-Routing: An On-Line Adaptive Network Routing Algorithm Shailesh Kumar Masters Thesis, Department of Computer Sciences, the University of Texas at Austin., May 1998. 108. ... 1998
Confidence Based Q-Routing: An On-Line Adaptive Network Routing Algorithm Shailesh Kumar and Risto Miikkulainen C. H. Dagli and M. Akay and O. Ersoy and B. R. Fernandez and A. Smith, editors, Smart Engineering... 1998
Culling And Teaching In Neuro-Evolution Paul McQuesten and Risto Miikkulainen In Thomas B{"a}ck, editors, Proceedings of the Seventh International Conference on Genetic Algori... 1997
Symbiotic Evolution Of Neural Networks In Sequential Decision Tasks David E. Moriarty PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, 1997. 117. Technical... 1997
Incremental Evolution Of Complex General Behavior Faustino Gomez and Risto Miikkulainen Adaptive Behavior(5):317-342, 1997. 1997
Dual Reinforcement Q-Routing: An On-Line Adaptive Routing Algorithm Shailesh Kumar and Risto Miikkulainen C. H. Dagli, M. Akay, O. Ersoy, B. R. Fernandez and A. Smith, editors, Smart Engineering Systems:... 1997
Forming Neural Networks Through Efficient And Adaptive Coevolution David E. Moriarty and Risto Miikkulainen Evolutionary Computation, 5:373--399, 1997. 1997
Reflections in Silicon: Artificial and Natural Neural Networks Rick W. Tanney Masters Thesis, Department of Philosophy, the University of Texas at Austin, Austin, TX, 1997. 1997
Evolving Obstacle Avoidance Behavior In A Robot Arm David E. Moriarty and Risto Miikkulainen In Pattie Maes and Maja J. Mataric and Jean-Arcady Meyer and Jordan Pollack and Stewart W. Wilson, ... 1996
Lateral Interactions In The Cortex: Structure And Function Joseph Sirosh, Risto Miikkulainen, and Yoonsuck Choe (editors) Electronic book, ISBN 0-9647060-0-8, http://nn.cs.utexas.edu/web-pubs/htmlbook96/. Austin, TX: The U... 1996
A Neural Network Model of Topographic Reorganization Following Cortical Lesions Joseph Sirosh and Risto Miikkulainen In M. Witten, editors, Computational Medicine, Public Health and Biotechnology: Building a Man in... 1996
Laterally Interconnected Self-Organizing Maps In Hand-Written Digit Recognition Yoonsuck Choe, Joseph Sirosh, and Risto Miikkulainen In David S. Touretzky and Michael C. Mozer and Michael E. Hasselmo, editors, Advances in Neural ... 1996
On-Line Adaptation Of A Signal Predistorter Through Dual Reinforcement Learning Patrick Goetz, Shailesh Kumar and Risto Miikkulainen In Lorenza Saitta, editors, Machine Learning: Proceedings of the 13th Annual Conference (Bari, It... 1996
Efficient Reinforcement Learning Through Symbiotic Evolution David E. Moriarty and Risto Miikkulainen In Leslie Pack Kaelbling, editors, Recent Advances in Reinforcement Learning(AI94-224), 11-32... 1996
Introduction: The Emerging Understanding of Lateral Interactions in the Cortex Risto Miikkulainen and Joseph Sirosh In Sirosh, J., Miikkulainen, R., and Choe, Y., editors, Lateral Interactions in the Cortex: Struc... 1996
Visualizing High-Dimensional Structure With The Incremental Grid Growing Neural Network Justine Blackmore and Risto Miikkulainen In Armand Prieditis and Stuart Russell, editors, Machine Learning: Proceedings of the 12th Annual... 1995
Laterally Interconnected Self-Organizing Feature Map In Handwritten Digit Recognition Yoonsuck Choe Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 1995... 1995
Learning Sequential Decision Tasks David E. Moriarty and Risto Miikkulainen Technical Report AI95-229, Department of Computer Sciences, The University of Texas at Austin, 1995. 1995
SARDNET: A Self-Organizing Feature Map For Sequences Daniel L. James and Risto Miikkulainen In G. Tesauro, D. S. Touretzky, and T. K. Leen, editors, Advances in Neural Information Processin... 1995
Discovering Complex Othello Strategies Through Evolutionary Neural Networks David E. Moriarty and Risto Miikkulainen Connection Science, 7:195--209, 1995. 1995
Visualizing High-Dimensional Structure with the Incremental Grid Growing Network Justine Blackmore Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 1995... 1995
Parsing Embedded Clauses with Distributed Neural Networks Risto Miikkulainen and Dennis Bijwaard In Proceedings of the Twelfth National Conference on Artificial Intelligence, 858-864, Januar... 1994
Evolutionary Neural Networks For Value Ordering In Constraint Satisfaction Problems David E. Moriarty and Risto Miikkulainen Technical Report AI94-218, Department of Computer Sciences, The University of Texas at Austin, 1994. 1994
Evolving Neural Networks To Focus Minimax Search David E. Moriarty and Risto Miikkulainen In Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94), 1371-... 1994
Searle, Subsymbolic Functionalism And Synthetic Intelligence Diane Law Technical Report, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 19... 1994
Grounding Robotic Control With Genetic Neural Networks Diane Law and Risto Miikkulainen Technical Report AI94-223, Department of Computer Sciences, The University of Texas at Austin, 1994. 1994
Incremental Grid Growing: Encoding High-Dimensional Structure Into A Two-Dimensional Feature Map Justine Blackmore and Risto Miikkulainen In Proceedings of the IEEE International Conference on Neural Networks (San Francisco, CA), 4... 1993
How Lateral Interaction Develops In A Self-Organizing Feature Map Joseph Sirosh and Risto Miikkulainen In Proceedings of the IEEE International Conference on Neural Networks (San Francisco, CA), 1... 1993
Using Marker-Based Genetic Encoding Of Neural Networks To Evolve Finite-State Behaviour Brad Fullmer and Risto Miikkulainen In Francisco J. Varela and Paul Bourgine, editors, Toward a Practice of Autonomous Systems: {P}ro... 1991
Self-Organizing Process Based On Lateral Inhibition And Synaptic Resource Redistribution Risto Miikkulainen In Teuvo Kohonen and Kai M{"a}kisara and Olli Simula and Jari Kangas, editors, Proceedings of the... 1991
Script Recognition With Hierarchical Feature Maps Risto Miikkulainen Connection Science, 2:83-101, 1990. 1990
People
     [Expand to show all 39][Minimize]
Adrian Agogino Former Collaborator adrian k agogino [at] nasa gov
Erkin Bahceci Ph.D. Alumni erkin [at] cs utexas edu
Garrett Bingham Ph.D. Alumni bingham [at] cs utexas edu
Julian Bishop Former Ph.D. Student julian [at] cs utexas edu
Justine Blackmore Masters Alumni jblackmorehlista [at] yahoo com
Yoonsuck Choe Ph.D. Alumni choe [at] tamu edu
Eliana Feasley Former Ph.D. Student elie [at] cs utexas edu
Peggy Fidelman Former Ph.D. Student peggyf [at] cs utexas edu
Olivier Francon Collaborator olivier francon [at] cognizant com
Aliza Gold Former Collaborator
Nabil M. Hewahi Former Visitor nhewahi [at] iugaza edu ps
Kim Houck Ph.D. Alumni houck [at] cs utexas edu
Daniel L. James Undergraduate Alumni
Igor V. Karpov Masters Alumni ikarpov [at] gmail com
Riitta Katila Collaborator rkatila [at] stanford edu
Nate Kohl Ph.D. Alumni nate [at] natekohl net
Shailesh Kumar Masters Alumni
Alan J. Lockett Ph.D. Alumni alan lockett [at] gmail com
Reza Mahjourian Ph.D. Alumni reza [at] cs utexas edu
Marlan McInnes-Taylor Masters Student marlan [at] cs utexas edu
Risto Miikkulainen Faculty risto [at] cs utexas edu
Arjun Nagineni Undergraduate Alumni arjun nagineni [at] utexas edu
Divya Prabhakaran Ph.D. Student divyapr [at] cs utexas edu
Jefferson Provost Ph.D. Alumni jefferson provost [at] gmail com
Xin Qiu Collaborator xin qiu [at] cognizant com
Joseph Reisinger Former Ph.D. Student joeraii [at] cs utexas edu
Vito Ruiz Masters Alumni
Jake Ryan Undergraduate Alumni
Jacob Schrum Ph.D. Alumni schrum2 [at] southwestern edu
Bryan Silverthorn Ph.D. Alumni bsilvert [at] cs utexas edu
Joseph Sirosh Ph.D. Alumni joseph sirosh [at] gmail com
Yiu Fai Sit Ph.D. Alumni yfsit [at] cs utexas edu
Kenneth Stanley Postdoctoral Alumni kstanley [at] cs ucf edu
Rick Tanney Masters Alumni
Wesley Tansey Former Collaborator tansey [at] cs utexas edu
Nathaniel Tucker Undergraduate Alumni
Cem C Tutum Former Research Scientist tutum [at] cs utexas edu
Austin Waters Ph.D. Alumni austin [at] cs utexas edu
Shimon Whiteson Former Collaborator s a whiteson [at] uva nl
Projects
     [Expand to show all 15][Minimize]
Demos
     [Expand to show all 18][Minimize]
Software/Data
     [Expand to show all 11][Minimize]
BiLex Download at GitHub.

A self-organizing map model of bilingual aphasia. ...

2021
MM-NEAT Download at GitHub

Modular Multiobjective NEAT is a software fra... 		2014
ESL This is the C# source code for the experiments with Egalitarian Social Learning (ESL) in a robot foraging domain. The re... 2012
Borg

The borg project includes a practical algorithm...

2011
NKVis This package contains a 3D visualization tool for NK fitness landscapes. Two types of visualizations are provided: a 2011
BREVE Monsters BREVE is a system for designing Artificial Life simulations available at http://spiderlan... 2010
OpenNERO OpenNERO is a general research and education platform for artificial intelligence. The platform is based on a simulatio... 2010
rtNEAT C++ The rtNEAT package contains source code implementing the real-time NeuroEvolution of Augmenting Topologies method. In ad... 2006
LISSOM

The LISSOM package contains the C++, Python, and Scheme source code and examples for training and testing firing-rate...

2004
SOFM The SOFM package contains C- and TK/TCL-code (integrated through SWIG) for the standard feature map algorithm for formi... 2002
HFM The HFM package contains the C-code and data for training and testing the HFM memory organization and hierarchical class... 1994
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