neural networks research group
areas • people • projects • demos • publications • software/data •
Vinod Valsalam
Ph.D. Alumni
Vinod's research focuses on understanding how learning and evolution interact in producing complex systems.
Projects
Learning Strategic Behavior in Sequential Decision Tasks 2009 - 2014
Modular Neuroevolution for Multilegged Locomotion 2007 - 2012
Evolving Controllers for Physical Multilegged Robots 2010 - 2011
Constructing Intelligent Agents in Simulated Worlds 2008 - 2010
Evolving Locomotion Controllers for Multilegged Robots 2008 - 2010
Leveraging Human Creativity with Machine Discovery 2008 - 2010
Utilizing Symmetry in Evolutionary Design 2007 - 2010
Developing Complex Systems Using Evolved Pattern Generators 2004 - 2006
Demos
Evolving Controllers for Physical Multilegged RobotsVinod Valsalam2011
Evolving Controller Symmetry for Multilegged RobotsVinod Valsalam2010
Modular Neuroevolution for Multilegged LocomotionVinod Valsalam2008
Handwritten Digit Recognition Utilizing Evolved Pattern GeneratorsVinod Valsalam2007
Publications
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Using Symmetry and Evolutionary Search to Minimize Sorting Networks Vinod K. Valsalam and Risto Miikkulainen Journal of Machine Learning Research, 14(Feb):303--331, 2013. 2013
Constructing Controllers for Physical Multilegged Robots using the ENSO Neuroevolution Approach Vinod K. Valsalam, Jonathan Hiller, Robert MacCurdy, Hod Lipson and Risto Miikkulainen Evolutionary Intelligence, 5(1):1--12, 2012. 2012
Evaluation Methods for Active Human-Guided Neuroevolution in Games Igor Karpov, Leif Johnson, Vinod Valsalam and Risto Miikkulainen In 2012 AAAI Fall Symposium on Robots Learning Interactively from Human Teachers (RLIHT), Nov... 2012
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
Utilizing Symmetry and Evolutionary Search to Minimize Sorting Networks Vinod K. Valsalam and Risto Miikkulainen Technical Report AITR-11-09, Department of Computer Sciences, The University of Texas at Austin, Aus... 2011
Evolving Symmetry for Modular System Design Vinod K. Valsalam and Risto Miikkulainen IEEE Transactions on Evolutionary Computation, 15(3):368--386, 2011. 2011
Assisting Machine Learning Through Shaping, Advice and Examples Igor Karpov, Vinod Valsalam and Risto Miikkulainen In 2011 IJCAI Workshop on Agents Learning Interactively from Human Teachers (ALIHT), July 201... 2011
Utilizing Symmetry in Evolutionary Design Vinod Valsalam PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 2010. Te... 2010
Evolving Symmetric and Modular Neural Networks for Distributed Control Vinod K. Valsalam and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 731--738, 200... 2009
Evolving Symmetric and Modular Neural Network Controllers for Multilegged Robots Vinod K. Valsalam and Risto Miikkulainen In xploring New Horizons in Evolutionary Design of Robots: Workshop at the 2009 IEEE/RSJ Internat... 2009
Modular Neuroevolution for Multilegged Locomotion Vinod K. Valsalam and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2008, 265-272, Ne... 2008
Developing Complex Systems Using Evolved Pattern Generators Vinod K. Valsalam, James A. Bednar and Risto Miikkulainen IEEE Transactions on Evolutionary Computation:181-198, 2007. 2007
Establishing an Appropriate Learning Bias Through Development Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen In Proceedings of the Fifth International Conference on Development and Learning (ICDL-2006),... 2006
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
Software/Data
ENSO This package contains software implementing the ENSO approach for evolving symmetric modular neural networks. It also in... 2010
Sorting Networks This package contains software utilizing an approach based on symmetry and evolution to minimize the number of comparato... 2010
Areas of Interest
Evolutionary Computation Neuroevolution Control Cognitive Science Computational Neuroscience
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