Applications
This section features publications that focus on a particular interesting application domain.
Subareas:
     [Expand to show all 19][Minimize]
Matthew Alden Ph.D. Alumni mealden [at] uw edu
Justine Blackmore Masters Alumni jblackmorehlista [at] yahoo com
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
Nate Kohl Ph.D. Alumni nate [at] natekohl net
Shailesh Kumar Masters Alumni
Dan Lessin Ph.D. Student dlessin [at] cs utexas edu
Xun Li Ph.D. Student xun bhsfer [at] cs utexas edu
Risto Miikkulainen Faculty risto [at] cs utexas edu
Jake Ryan Undergraduate Alumni
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
     [Expand to show all 53][Minimize]
Evolving Multimodal Behavior Through Subtask and Switch Neural Networks 2014
Xun Li, Risto Miikkulainen, 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, To Appear In AI Magazine (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Risto Miikkulainen, To Appear In unpublished.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 1998. Cambridge, MA: MIT Press.
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.
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