Applications
This section features publications that focus on a particular interesting application domain.
Subareas:
People
     [Expand to show all 25][Minimize]
Suhaib Abdulquddos Masters Alumni suhaib [at] cs utexas edu
Matthew Alden Ph.D. Alumni mealden [at] uw edu
Justine Blackmore Masters Alumni jblackmorehlista [at] yahoo com
Brian D. Boyles Masters Alumni bboyles [at] utexas edu
Joseph Bruce Formerly affiliated Ph.D. Student
Li-Chiu Chang Formerly affiliated Visitor changlc [at] mail tku edu tw
Chun-Chi Chen Undergraduate Alumni
Alex van Eck Conradie Formerly affiliated Visitor
Aliza Gold Formerly affiliated Collaborator
Aravind Gowrisankar Masters Alumni
Uli Grasemann Postdoctoral Alumni uli [at] cs utexas edu
Brian Greer Undergraduate Alumni
Babak Hodjat Collaborator babak [at] cognizant com
Nate Kohl Ph.D. Alumni nate [at] natekohl net
Shailesh Kumar Masters Alumni
Dan Lessin Ph.D. Alumni dlessin [at] cs utexas edu
Xun Li Ph.D. Alumni xun bhsfer [at] cs utexas edu
Kaitlin Maile Formerly affiliated Ph.D. Student kmaile [at] cs utexas edu
Risto Miikkulainen Faculty risto [at] cs utexas edu
Jake Ryan Undergraduate Alumni
Hormoz Shahrzad Masters Alumni hormoz [at] cognizant com
Rini Sherony Formerly affiliated Collaborator rini sherony [at] tema toyota com
Bryan Silverthorn Ph.D. Alumni bsilvert [at] cs utexas edu
Joseph Sirosh Ph.D. Alumni joseph sirosh [at] gmail com
Cem C Tutum Formerly affiliated Research Scientist tutum [at] cs utexas edu
Publications
     [Expand to show all 84][Minimize]
Discovering Effective Policies for Land-Use Planning with Neuroevolution 2024
Risto Miikkulainen, Olivier Francon, Daniel Young, Elliot Meyerson, Clemens Schwingshackl, Jacob Bieker, Hugo Cunha, and Babak Hodjat, arXiv:2311.12304 (2024). (A shorter version appeared in the Proceedings of the NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning).
Generative AI: An AI Paradigm Shift in the Making? 2024
Risto Miikkulainen, AI Magazine (2024), pp. 1-3. https://doi.org/10.1002/aaai.12155.
Optimizing the Design of an Artificial Pancreas to Improve Diabetes Management 2024
Ashok Khanna, Olivier Francon, and Risto Miikkulainen, arXiv:2402.07949 (2024).
Using context to adapt to sensor drift 2024
Jamieson Warner, Ashwin Devaraj, and Risto Miikkulainen, In Proceedings of the International Conference on Development and Learning (ICDL 2024), 2024. (also arXiv:2003.07292).
Pandemic Resilience: Developing an AI-calibrated Ensemble of Models to Inform Decision Making 2023
GPAI, Technical Report, Global Partnership on Artificial Intelligence.
Creative AI through Evolutionary Computation: Principles and Examples 2021
Risto Miikkulainen, SN Computer Science, Vol. 2 (2021), pp. 163.
Evaluating Medical Aesthetics Treatments through Evolved Age-Estimation Models 2021
Risto Miikkulainen, Elliot Meyerson, Xin Qiu, Ujjayant Sinha, Raghav Kumar, Karen Hofmann, Yiyang Matt Yan, Michael Ye, Jingyuan Yang, Damon Caiazza, and Stephanie Manson Brown, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1009–1017, 2021.
From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic 2021
Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak Hodjat, To Appear In IEEE Transactions on Evolutionary Computation, Vol. 25 (2021), pp. 386-401.
A Comparison of the Taguchi Method and Evolutionary Optimization in Multivariate Testing 2020
Jingbo Jiang, Diego Legrand, Robert Severn, and Risto Miikkulainen, In Proceedings of the 2020 IEEE Congress on Evolutionary Computation, 2020.
Ascend by Evolv: AI-Based Massively Multivariate Conversion Rate Optimization 2020
Risto Miikkulainen, Myles Brundage, Jonathan Epstein, Tyler Foster, Babak Hodjat, Neil Iscoe, Jingbo Jiang, Diego Legrand, Sam Nazari, Xin Qiu, Michael Scharff, Cory Schoolland, Robert Severn, Aaron Shagrin, AI Magazine, Vol. 41 (2020), pp. 44-60.
Enhanced Optimization with Composite Objectives and Novelty Pulsation 2020
Hormoz Shahrzad, Babak Hodjat, Camille Dolle, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer, and Risto Miikkulainen, To Appear In Genetic Programming Theory and Practice XVII 2020. Springer, New York.
From Nodes to Networks: Evolving Recurrent Neural Networks 2020
Aditya Rawal, Risto Miikkulainen, In Deep Neural Evolution: Deep Learning with Evolutionary Computation, H. Iba and N. Noman (Eds.), pp. 233-251 2020. Springer. (also arxiv:1803.04439).
Improving Deep Learning Through Loss-Function Evolution 2020
Santiago Gonzalez, PhD Thesis, Department of Computer Science, The University of Texas at Austin.
MDEA: Malware Detection with Evolutionary Adversarial Learning 2020
Xiruo Wang, Risto Miikkulainen, In Proceedings of the 2020 IEEE Congress on Evolutionary Computation, 2020.
Better Future through AI: Avoiding Pitfalls and Guiding AI Towards its Full Potential 2019
Risto Miikkulainen, Bret Greenstein, Babak Hodjat, Jerry Smith, arxiv:1905.13178 (2019).
Enhancing Evolutionary Conversion Rate Optimization via Multi-armed Bandit Algorithms 2019
Xin Qiu and Risto Miikkulainen, In Proceedings of the 31st Conference on Innovative Applications of Artificial Intelligence 2019.
Evolving Deep Neural Networks 2019
Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju, Hormoz Shahrzad, Arshak Navruzyan, Nigel Duffy, and Babak Hodjat, In Artificial Intelligence in the Age of Neural Networks and Brain Computing, Robert Kozma, Cesare Alippi, Yoonsuck Choe, and Francesco Carlo Morabito (Eds.), pp. 293-312 2019. Amsterdam: Elsev...
Flavor-cyber-agriculture: Optimization of plant metabolites in an open-source control environment through surrogate modeling 2019
Arielle J. Johnson, Elliot Meyerson, John de la Parra, Timothy L. Savas, Risto Miikkulainen, Caleb B. Harper, bioRxiv:424226, Vol. (2019).
MDEA: Malware Detection with Evolutionary Adversarial Learning 2019
Xiruo Wang, Masters Thesis, Department of Computer Science, The University of Texas at Austin.
Discovering Gated Recurrent Neural Network Architectures 2018
Aditya Rawal, PhD Thesis, Department of Computer Science, The University of Texas at Austin.
Functional Generative Design: An Evolutionary Approach to 3D-Printing 2018
Cem C. Tutum, Supawit Chockchowwat, Etienne Vouga and Risto Miikkulainen, To Appear In Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2018), pp. 8, Kyoto, Japan, July 2018.
Learning Useful Features For Poker 2018
Arjun Nagineni, Technical Report, Department of Computer Sciences, The University of Texas at Austin.
Sentient Ascend: AI-Based Massively Multivariate Conversion Rate Optimization 2018
R. Miikkulainen, N. Iscoe, A. Shagrin, R. Rapp, S. Nazari, P. McGrath, C. Schoolland, E. Achkar, M. Brundage, J. Miller, J. Epstein, and G. Lamba, In Proceedings of the Thirtieth Innovative Applications of Artificial Intelligence Conference 2018. AAAI.
Conversion Rate Optimization through Evolutionary Computation 2017
Risto Miikkulainen, Neil Iscoe, Aaron Shagrin, Ron Cordell, Sam Nazari, Cory Schoolland, Myles Brundage, Jonathan Epstein, Randy Dean, Gurmeet Lamba, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2017, Berlin, Germany) 2017.
Evolutionary Decomposition for 3D Printing 2017
Eric A. Yu, Jin Yeom, Cem C. Tutum, Etienne Vouga, Risto Miikkulainen, To Appear In Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2017) (Best Paper Award), pp. 8 pages, Berlin, Germany, July 2017.
How to Select a Winner in Evolutionary Optimization? 2017
Risto Miikkulainen, Hormoz Shahrzad, Nigel Duffy, and Phil Long, In Proceedings of the IEEE Symposium Series in Computational Intelligence 2017. IEEE.
Constructing Game Agents Through Simulated Evolution 2016
Jacob Schrum and Risto Miikkulainen, In Encyclopedia of Computer Graphics and Games, Newton Lee (Eds.), pp. 1--10 2016. Springer.
Surrogate-based Evolutionary Optimization for Friction Stir Welding 2016
Cem C Tutum, Shaayaan Sayed and Risto Miikkulainen, In Proceedings of IEEE World Congress on Computational Intelligence (WCCI 2016), pp. 8 pages, Vancouver, BC, Canada, July 2016.
Evolving Scout Agents for Military Simulations 2015
Brian D. Boyles, Masters Thesis, Department of Computer Sciences, The University of Texas at Austin.
Evolving Strategies for Social Innovation Games 2015
Erkin Bahceci, Riitta Katila and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), Madrid, Spain 2015.
Evolving Multimodal Behavior Through Subtask and Switch Neural Networks 2014
Xun Li and Risto Miikkulainen, In Proceedings of The Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE 14) 2014.
GRADE: Machine Learning Support for Graduate Admissions 2014
Austin Waters, Risto Miikkulainen, AI Magazine, Vol. 35 (2014), pp. 64-75.
Learning Decision Lists with Lags for Physiological Time Series 2014
Erik Hemberg, Kalyan Veeramachaneni, Prashan Wanigasekara, Hormoz Shahrzad, Babak Hodjat, Una-May O'Reilly, In Workshop on Data Mining for Medicine and Healthcare at the 14th SIAM International Conference on Data Mining, pp. 82-87, 2014.
Architecture of a Cyberphysical Avatar 2013
Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Quan Leng, Xiuming Zhu, Luis Sentis, Kwan Suk Kim, and Risto Miikkulainen, In Proceedings of the ACM/IEEE Fourth International Conference on Cyber-Physical Systems (ICCPS-2013) 2013.
Extended Scaled Neural Predictor for Improved Branch Prediction 2013
Zihao Zhou, Mayank Kejriwal and Risto Miikkulainen, In Proceedings of the International Joint Conference on Neural Networks 2013. IEEE.
GRADE: Machine Learning Support for Graduate Admissions 2013
Austin Waters, Risto Miikkulainen, In Proceedings of the 25th Conference on Innovative Applications of Artificial Intelligence 2013.
IJCNN-2013 Tutorial on Evolution of Neural Networks 2013
Risto Miikkulainen, To Appear In unpublished. Tutorial slides..
Using Symmetry and Evolutionary Search to Minimize Sorting Networks 2013
Vinod K. Valsalam and Risto Miikkulainen, Journal of Machine Learning Research, Vol. 14, Feb (2013), pp. 303--331.
A Probabilistic Architecture for Algorithm Portfolios 2012
Bryan Silverthorn, PhD Thesis, Department of Computer Science, The University of Texas at Austin.
Architecture of a Cyberphysical Avatar 2012
Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Xiuming Zhu, Luis Sentis, Kan Suk Kim, Risto Miikkulainen, and Jacob Menashe, In Proceedings of the International Workshop on Real-Time and Distributed Computing in Emerging Applications (REACTION) 2012.
Surviving Solver Sensitivity: An ASP Practitioner's Guide 2012
Bryan Silverthorn, Yuliya Lierler and Marius Schneider, International Conference on Logic Programming (ICLP) (2012).
UT^2: Human-like Behavior via Neuroevolution of Combat Behavior and Replay of Human Traces 2011
Jacob Schrum, Igor V. Karpov and Risto Miikkulainen, In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), pp. 329--336, Seoul, South Korea, September 2011. IEEE.
Temporal Convolution Machines for Sequence Learning 2009
Alan J Lockett and Risto Miikkulainen, Technical Report AI-09-04, Department of Computer Sciences, the University of Texas at Austin.
Computational Intelligence in Games 2006
Risto Miikkulainen, Bobby D. Bryant, Ryan Cornelius, Igor V. Karpov, Kenneth O. Stanley, and Chern Han Yong, In Computational Intelligence: Principles and Practice, Gary Y. Yen and David B. Fogel (Eds.), Piscataway, NJ 2006. IEEE Computational Intelligence Society.
Creating Intelligent Agents in Games 2006
Risto Miikkulainen, The Bridge (2006), pp. 5-13.
Academic AI and Video Games: A Case Study of Incorporating Innovative Academic Research into a Video Game Prototype 2005
Aliza Gold, In Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games (CIG'05) 2005. Piscataway, NJ: IEEE.
Effective Image Compression Using Evolved Wavelets 2005
Uli Grasemann and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference 2005.
Evolving Neural Network Agents in the NERO Video Game 2005
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen, In Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games (CIG'05), Piscataway, NJ 2005. IEEE.
Learning Basic Navigation for Personal Satellite Assistant Using Neuroevolution 2005
Yiu Fai Sit and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference 2005.
Neuroevolution of an Automobile Crash Warning System 2005
Kenneth Stanley, Nate Kohl, Rini Sherony, and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference 2005.
Real-Time Learning in the NERO Video Game 2005
Kenneth O. Stanley, Ryan Cornelius, Risto Miikkulainen, Thomas D'Silva, and Aliza Gold, In Proceedings of the Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2005) Demo Papers 2005.
Real-time Neuroevolution in the NERO Video Game 2005
Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen, IEEE Transactions on Evolutionary Computation (2005), pp. 653-668. IEEE.
A Neurocontrol Paradigm for Intelligent Process Control using Evolutionary Reinforcement Learning 2004
Alex van Eck Conradie, PhD Thesis, Department of Chemical Engineering, University of Stellenbosch.
Efficient Evolution of Neural Networks Through Complexification 2004
Kenneth O. Stanley, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin.
Active Guidance for a Finless Rocket Using Neuroevolution 2003
Faustino J. Gomez and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 2084-2095, San Francisco 2003. Morgan Kaufmann.
Incremental Nonmonotonic Parsing through Semantic Self-Organization 2003
Marshall R. Mayberry III, PhD Thesis, Department of Computer Sciences, the University of Texas at Austin. Technical Report AI-TR-04-310.
Adaptive Control Utilising Neural Swarming 2002
Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich, In Proceedings of the Genetic and Evolutionary Computation Conference, William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and Riccardo Poli and Karth...
Intelligent Process Control Utilizing Symbiotic Memetic Neuro-Evolution 2002
Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich, In Proceedings of the 2002 Congress on Evolutionary Computation, pp. 6 2002.
Numerical Optimization With Neuroevolution 2002
Brian Greer, Henri Hakonen, Risto Lahdelma, and Risto Miikkulainen, In Proceedings of the 2002 Congress on Evolutionary Computation, pp. 361-401, Piscataway, NJ 2002. IEEE. Undergraduate Thesis, Department of Computer Sciences, The University of Texas at Aust...
A Neuroevolution Method For Dynamic Resource Allocation On A Chip Multiprocessor 2001
Faustino J. Gomez, Doug Burger, and Risto Miikkulainen, In Proceedings of the {INNS-IEEE} International Joint Conference on Neural Networks, pp. 2355-2361, Piscataway, NJ 2001. IEEE.
Applying ESP And Region Specialists To Neuro-Evolution For Go 2001
Andres Santiago Perez-Bergquist, Technical Report TR-01-24, Department of Computer Science, University of Texas at Austin.
Co-Evolving A Go-Playing Neural Network 2001
Alex Lubberts and Risto Miikkulainen, In Coevolution: {T}urning Adaptive Algorithms Upon Themselves, Birds-of-a-Feather Workshop, Genetic and Evolutionary Computation Conference ({GECCO}-2001), pp. 6 2001.
Creating Melodies With Evolving Recurrent Neural Networks 2001
Chun-Chi J. Chen and Risto Miikkulainen, In Proceedings of the {INNS-IEEE} International Joint Conference on Neural Networks, pp. 2241-2246, Piscataway, NJ 2001. IEEE.
Numerical Optimization with Neuroevolution 2001
Brian Greer, Technical Report TR-01-49, Department of Computer Science, The University of Texas at Austin.
Automatic Music Composition using Genetic Algorithm and Neural Networks: A Constrained Evolution Approach 2000
Chun-Chi Chen, Technical Report HR-00-02, Department of Computer Sciences, The University of Texas at Austin.
Neuro-Evolution And Natural Deduction 2000
Nirav S. Desai and Risto Miikkulainen, In Proceedings of The First {IEEE} Symposium on Combinations of Evolutionary Computation and Neural Networks, pp. 64-69, Piscataway, NJ 2000. IEEE.
Confidence Based Dual Reinforcement Q-Routing: An Adaptive On-Line Routing Algorithm 1999
Shailesh Kumar and Risto Miikkulainen, In 16th International Joint Conference on Artificial Intelligence (IJCAI-99), pp. 758--763, Stockholm, Sweden 1999. San Francisco, CA: Kaufmann.
Confidence Based Dual Reinforcement Q-Routing: An On-Line Adaptive Network Routing Algorithm 1998
Shailesh Kumar, Masters Thesis, Department of Computer Sciences, the University of Texas at Austin.. 108. Technical Report AI-98-267.
Confidence Based Q-Routing: An On-Line Adaptive Network Routing Algorithm 1998
Shailesh Kumar and Risto Miikkulainen, Smart Engineering Systems: Neural Networks, Fuzzy Logic, Data Mining, and Evolutionary ProgrammingC. H. Dagli and M. Akay and O. Ersoy and B. R. Fernandez and A. Smith (Eds.), Vol. 8 (1998).
Evolving Neural Networks To Play Go 1998
Norman Richards, David Moriarty, and Risto Miikkulainen, Applied IntelligenceThomas B{"a}ck (Eds.) (1998), pp. 768-775. San Francisco, CA: Morgan Kaufmann.
Hierarchical Evolution Of Neural Networks 1998
David E. Moriarty and Risto Miikkulainen, In Proceedings of the 1998 IEEE Conference on Evolutionary Computation (ICEC98), pp. 428-433, Anchorage, AK 1998. Piscataway, NJ: IEEE.
Intrusion Detection With Neural Networks 1998
Jake Ryan, Meng-Jang Lin, and Risto Miikkulainen, In Advances in Neural Information Processing Systems 10, Michael I. Jordan and Michael J. Kearns and Sara A. Solla (Eds.), pp. 943-949, Department of Computer Sciences, The University of Texas ...
Dual Reinforcement Q-Routing: An On-Line Adaptive Routing Algorithm 1997
Shailesh Kumar and Risto Miikkulainen, Smart Engineering Systems: Neural Networks, Fuzzy Logic, Data Mining, and Evolutionary ProgrammingC. H. Dagli, M. Akay, O. Ersoy, B. R. Fernandez and A. Smith (Eds.), Vol. 7 (1997).
Symbiotic Evolution Of Neural Networks In Sequential Decision Tasks 1997
David E. Moriarty, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. 117. Technical Report UT-AI97-257.
Evolving Obstacle Avoidance Behavior In A Robot Arm 1996
David E. Moriarty and Risto Miikkulainen, In From Animals to Animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, Pattie Maes and Maja J. Mataric and Jean-Arcady Meyer and Jordan Pollack an...
Laterally Interconnected Self-Organizing Maps In Hand-Written Digit Recognition 1996
Yoonsuck Choe, Joseph Sirosh, and Risto Miikkulainen, In Advances in Neural Information Processing Systems 8, David S. Touretzky and Michael C. Mozer and Michael E. Hasselmo (Eds.), pp. 736-742 1996. Cambridge, MA: MIT Press.
On-Line Adaptation Of A Signal Predistorter Through Dual Reinforcement Learning 1996
Patrick Goetz, Shailesh Kumar and Risto Miikkulainen, In Machine Learning: Proceedings of the 13th Annual Conference (Bari, Italy), Lorenza Saitta (Eds.), pp. 175-181 1996. San Francisco, CA: Morgan Kaufmann.
Discovering Complex Othello Strategies Through Evolutionary Neural Networks 1995
David E. Moriarty and Risto Miikkulainen, Connection Science, Vol. 7 (1995), pp. 195--209.
Laterally Interconnected Self-Organizing Feature Map In Handwritten Digit Recognition 1995
Yoonsuck Choe, Masters Thesis, Department of Computer Sciences, The University of Texas at Austin. 65. Technical Report AI95-236.
Learning Sequential Decision Tasks 1995
David E. Moriarty and Risto Miikkulainen, Technical Report AI95-229, Department of Computer Sciences, The University of Texas at Austin.
SARDNET: A Self-Organizing Feature Map For Sequences 1995
Daniel L. James and Risto Miikkulainen, In Advances in Neural Information Processing Systems 7 (NIPS'94), G. Tesauro, D. S. Touretzky, and T. K. Leen (Eds.), pp. 577--584, Denver, CO 1995. Cambridge, MA: MIT Press.
Visualizing High-Dimensional Structure With The Incremental Grid Growing Neural Network 1995
Justine Blackmore and Risto Miikkulainen, In Machine Learning: Proceedings of the 12th Annual Conference, Armand Prieditis and Stuart Russell (Eds.), pp. 55-63, Austin, TX 1995. San Francisco, CA: Morgan Kaufmann. 55-63. Technical Repo...
Evolving Neural Networks To Focus Minimax Search 1994
David E. Moriarty and Risto Miikkulainen, In Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94), pp. 1371-1377, Seattle, WA 1994. Cambridge, MA: MIT Press.
Data Rectification Using Recurrent (Elman) Neural Networks 1992
Thomas W. Karjala, David M. Himmelblau and Risto Miikkulainen, In Proceedings of the International Joint Conference on Neural Networks (IJCNN-92), Vol. II, pp. 901--906, Baltimore, MD 1992. Piscataway, NJ: IEEE.
Projects
A Predictive Simulation Model of Competitive Dynamics in Innovation 2009 - 2013
The OpenNERO AI Research and Education Platform 2009 - Present
Learning Strategic Behavior in Sequential Decision Tasks 2009 - 2014
Borg: A General-Purpose Algorithm Portfolio System 2009 - 2013
Human-like Bots in Unreal Tournament 2008 - 2012
NEAT: Evolving Vehicle Warning Systems 2004 - 2006
Controlling a Finless Rocket Through Neuroevolution 2002 - 2003
Intrusion Detection 1998 - 1998
Data Rectification for Process Control 1992 - 1992
Software/Data
ContextSkillDrift Download on GitHub.

A gas classifier using an explicit conte...

2021
BBMS BBMS is software for Brian Boyles's Masters thesis on evolving scout agents for military simulations. It includes a simu... 2015
MARLEDA Markovian Learning Estimation of Distribution Algorithm (MARLEDA) is an Estimation of Distribution Algorithm (EDA) that ... 2013
mMARLEDA The mMarleda package extends the MARLEDA software to multiobjective optim... 2013
Borg

The borg project includes a practical algorithm...

2011
MIR Sentence Processing Package The MIR Sentence Processing package contains the C source code for the MIR system, as well as a selection of scripts wi... 1998
FGREPNET The FGREPNET package contains the C-code and data for training and testing an FGREP network in developing distributed re... 1994
PROC The PROC package contains the C-code and data for training and testing the story processing modules of the DISCERN syste... 1994
SPEC The SPEC package contains the C-code and data for training and testing the SPEC system for processing complex sentences ... 1994
Demos
Multimodal Behavior in Isolated Ms. Pac-ManJacob Schrum2015
Multimodal Behavior in Imprison Ms. Pac-ManJacob Schrum2014
UT^2: Winner of 2012 BotPrize in Unreal Tournament 2004Jacob Schrum, Igor Karpov2012
Model-Based Visualization of Solver Performance DataBryan Silverthorn2011
Evolving Vehicle Warning SystemsNate Kohl2006
Finless Rocket ControlFaustino Gomez2003
Labs
Neural Networks