optimization

Beyond Gradients

Alan J. Lockett's Research Pages
English

Publications

Here are my current publications listed by year, with links to each where the paper is publicly available.


To Appear

Lockett, Alan. Beyond Newton's Method: Functional Analysis of Optimization. To Appear, 2015. Springer-Verlag.

Stollenga, Marijn, Lockett, Alan, and Schmidhuber, Juergen. The Natural Gradient as a Control Signal for a Humanoid Robot. Submitted October 2014. Draft

Lockett, Alan and Miikkulainen, Risto. A Probabilistic Re-Formulation of No Free Lunch: Continuous Lunches Are Not Free. Submitted October 2014. Draft

Lockett, Alan. Model-Optimal Optimization for General-Purpose Evaluation Contexts. Submitted October 2014.


2015

Lockett, Alan. Insights from Adversarial Fitness Functions (2015). In Proceedings of the 13th International Workshop on the Foundations of Genetic Algorithms (FOGA-2015). Aberystwyth, Wales. ACM Press.


2014

Lockett, Alan and Miikkulainen, Risto. Evolutionary Annealing: Global Optimization in Arbitrary Measure Spaces (2014). Journal of Global Optimization. January 2014. Volume 58, pages 75-108. Springer US. PDF

Lockett, Alan. Model-Optimal Optimization by Solving Bellman Equations (2014). In Proceedings of the 2014 Genetic and Evolutionary Computation Conference (GECCO-2014), Vancouver, Canada. ACM Press. PDF


2013

Lockett, Alan and Mikkulainen, Risto. A Measure-Theoretic Analysis of Stochastic Optimization (2013). In Proceedings of the 12th International Workshop on the Foundations of Genetic Algorithms (FOGA-2013), Adelaide, Australia. ACM Press. PDF

Lockett, Alan. Measure-Theoretic Analysis of Performance in Evolutionary Algorithms (2013). In Proceedings of the 2013 IEEE Congress on Evolutionary Computation (CEC-2013), Cancun, Mexico. IEEE Press. Runner-up Overall Best Paper. PDF

Lockett, Alan and Miikkulainen, Risto. Neuroannealing: Martingale-Driven Optimization for Neural Networks (2013). In Proceedings of the 2013 Genetic and Evolutionary Computation Conference (GECCO-2013), Amsterdam, the Netherlands. ACM Press. PDF


2012

Lockett, Alan. General-Purpose Optimization Through Information Maximization (2012). Ph.D. Thesis, University of Texas at Austin. PDF


2011

Lockett, Alan and Miikkulainen, Risto. Measure-Theoretic Evolutionary Annealing (2011). In Proceedings of the 2011 IEEE Congress on Evolutionary Computation (CEC-2011), New Orleans, Louisiana. IEEE Press. PDF

Lockett, Alan and Miikkulainen, Risto. Real-Space Evolutionary Annealing (2012). In Proceedings of the 2011 Genetic and Evolutionary Computation Conference (GECCO-2011), Dublin, Ireland. ACM Press. PDF


2009

Lockett, Alan and Miikkulainen, Risto. Temporal Convolution Machines for Sequence Learning (2009). Technical Report AI-09-04, Department of Computer Sciences, the University of Texas at Austin. PDF


2008

Lockett, Alan and Miikkulainen, Risto. Evolving Opponent Models for Texas Hold 'Em (2008). In Proceedings of the 2008 IEEE Conference on Computational Intelligence in Games (CIG-2008), Perth, Australia. IEEE Press. PDF


2007

Lockett, Alan, Chen, Charles, and Miikkulainen, Risto. Evolving Explicit Opponent Models for Game Play (2007). In Proceedings of the 2007 Genetic and Evolutionary Computation Conference (GECCO-2007), London, England. ACM Press. PDF


About Me

Alan J. Lockett

I am looking for an assistant professorship to research the theory of feedback controllers for the control of complex autonomous systems, from smart homes to self-driving cars and humanoid robots. A CV and research statement can be found in the links to the left.

I have published on the theory of global optimization, humanoid robotics, neural networks for perception and control, and opponent modelling in games, and am working on a book expanding my Ph.D. thesis about the theory of global optimization under contract with Springer.

I am currently a postdoctoral fellow at the Dalle Molle Institute for Artificial Intelligence Studies on a US National Science Foundation postdoc grant working with Juergen Schmidhuber in Lugano, Switzerland. My Ph.D. is from the University of Texas where I studied with Risto Miikkulainen. See my About page for contact information and more.