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Created page with "'''Home * People * Alan J. Lockett''' FILE:alan-lockett.jpg|border|right|thumb|link=http://nn.cs.utexas.edu/?alanlockett| Alan J. Lockett <ref>[http://nn...."
'''[[Main Page|Home]] * [[People]] * Alan J. Lockett'''
[[FILE:alan-lockett.jpg|border|right|thumb|link=http://nn.cs.utexas.edu/?alanlockett| Alan J. Lockett <ref>[http://nn.cs.utexas.edu/?alanlockett - NNRG People - Alan J. Lockett]</ref> ]]
'''Alan J. Lockett''',<br/>
an American computer scientist, Ph.D. from [https://en.wikipedia.org/wiki/University_of_Texas_at_Austin University of Texas at Austin] under [[Risto Miikkulainen]].
In his thesis covering [[Learning|machine learning]] and [https://en.wikipedia.org/wiki/Global_optimization global optimization], he introduced the [https://en.wikipedia.org/wiki/Martingale_(probability_theory) martingale] based '''Evolutionary Annealing''',
which resembles an [[Genetic Programming#EvolutionaryAlgorithms|evolutionary algorithms]] to approximates samples from an increasingly sharp
[https://en.wikipedia.org/wiki/Boltzmann_distribution Boltzmann distribution], asymptotically focusing on the global optima.
'''Neuroannealing''' applies evolutionary annealing to evolve and learn [[Neural Networks|neural networks]].
His further research interests include [https://en.wikipedia.org/wiki/Humanoid_robot humanoid robotics], [[Deep Learning|deep learning]] and [[Opponent Model Search|opponent modelling]] in [[Games|games]].
=Selected Publications=
<ref>[https://dblp.uni-trier.de/pers/hd/l/Lockett:Alan_J= dblp: Alan J. Lockett]</ref> <ref>[https://scholar.google.ch/citations?user=fAhufycAAAAJ&hl=en Alan J Lockett - Google Scholar]</ref>
* [[Alan J. Lockett]], [[Charles L. Chen]], [[Risto Miikkulainen]] ('''2007'''). ''[http://nn.cs.utexas.edu/?lockett:gecco07 Evolving Explicit Opponent Models for Game Play]''. [https://dblp.uni-trier.de/db/conf/gecco/gecco2007c.html GECCO 2007]
* [[Alan J. Lockett]], [[Risto Miikkulainen]] ('''2008'''). ''[http://nn.cs.utexas.edu/?lockett:cig08 Evolving Opponent Models for Texas Hold 'Em]''. [https://dblp.uni-trier.de/db/conf/cig/cig2008.html CIG 2008]
==2010 ...==
* [[Alan J. Lockett]], [[Risto Miikkulainen]] ('''2011'''). ''[http://www.cs.utexas.edu/users/ai-lab/?lockett:gecco11 Real-Space Evolutionary Annealing]''. [https://dblp.uni-trier.de/db/conf/gecco/gecco2011.html GECCO 2011]
* [[Alan J. Lockett]] ('''2012'''). ''General-Purpose Optimization Through Information Maximization''. Ph.D. thesis, [https://en.wikipedia.org/wiki/University_of_Texas_at_Austin University of Texas at Austin], advisor [[Risto Miikkulainen]], [http://www.alockett.com/static/pdf/lockett-thesis.pdf pdf]
* [[Alan J. Lockett]], [[Risto Miikkulainen]] ('''2013'''). ''[http://nn.cs.utexas.edu/?lockett:foga2013 A Measure-Theoretic Analysis of Stochastic Optimization]''. [https://dblp.uni-trier.de/db/conf/foga/foga2013.html FOGA 2013]
* [[Alan J. Lockett]] ('''2014'''). ''[https://www.semanticscholar.org/paper/Model-optimal-optimization-by-solving-bellman-Lockett/f76b37009ae77688403ea1665c597faa448d89e9 Model-optimal optimization by solving bellman equations]''. [https://dblp.uni-trier.de/db/conf/gecco/gecco2014.html GECCO 2014] <ref>[https://en.wikipedia.org/wiki/Bellman_equation Bellman equation from Wikipedia]</ref>
* [[Alan J. Lockett]], [[Risto Miikkulainen]] ('''2014'''). ''[http://nn.cs.utexas.edu/?lockett:jogo13 Evolutionary Annealing: Global Optimization in Arbitrary Measure Spaces]''. [https://www.springer.com/journal/10898 Journal of Global Optimization], Vol. 58
* [https://scholar.google.com/citations?user=52L53fEAAAAJ&hl=en Marijn F. Stollenga], [[Alan J. Lockett]], [[Jürgen Schmidhuber]] ('''2015'''). ''[https://ieeexplore.ieee.org/abstract/document/7363550 The Natural Gradient as a control signal for a humanoid robot]''. [https://dblp.uni-trier.de/db/conf/humanoids/humanoids2015.html Humanoids 2015]
* [[Alan J. Lockett]] ('''2015'''). ''[https://dl.acm.org/doi/10.1145/2725494.2725501 Insights From Adversarial Fitness Functions]''. [https://dblp.uni-trier.de/db/conf/foga/foga2015.html FOGA 2015], [http://www.alockett.com/static/pdf/lockett-foga2015.pdf pdf (extended abstract)]
=External Links=
* [http://www.alockett.com/ Alan J Lockett's Optimization Research]
* [http://nn.cs.utexas.edu/?alanlockett NNRG People - Alan J. Lockett]
* [https://scholar.google.ch/citations?user=fAhufycAAAAJ&hl=en Alan J Lockett - Google Scholar]
=References=
<references />
'''[[People|Up one Level]]'''
[[Category:Researcher|Lockett]]
[[FILE:alan-lockett.jpg|border|right|thumb|link=http://nn.cs.utexas.edu/?alanlockett| Alan J. Lockett <ref>[http://nn.cs.utexas.edu/?alanlockett - NNRG People - Alan J. Lockett]</ref> ]]
'''Alan J. Lockett''',<br/>
an American computer scientist, Ph.D. from [https://en.wikipedia.org/wiki/University_of_Texas_at_Austin University of Texas at Austin] under [[Risto Miikkulainen]].
In his thesis covering [[Learning|machine learning]] and [https://en.wikipedia.org/wiki/Global_optimization global optimization], he introduced the [https://en.wikipedia.org/wiki/Martingale_(probability_theory) martingale] based '''Evolutionary Annealing''',
which resembles an [[Genetic Programming#EvolutionaryAlgorithms|evolutionary algorithms]] to approximates samples from an increasingly sharp
[https://en.wikipedia.org/wiki/Boltzmann_distribution Boltzmann distribution], asymptotically focusing on the global optima.
'''Neuroannealing''' applies evolutionary annealing to evolve and learn [[Neural Networks|neural networks]].
His further research interests include [https://en.wikipedia.org/wiki/Humanoid_robot humanoid robotics], [[Deep Learning|deep learning]] and [[Opponent Model Search|opponent modelling]] in [[Games|games]].
=Selected Publications=
<ref>[https://dblp.uni-trier.de/pers/hd/l/Lockett:Alan_J= dblp: Alan J. Lockett]</ref> <ref>[https://scholar.google.ch/citations?user=fAhufycAAAAJ&hl=en Alan J Lockett - Google Scholar]</ref>
* [[Alan J. Lockett]], [[Charles L. Chen]], [[Risto Miikkulainen]] ('''2007'''). ''[http://nn.cs.utexas.edu/?lockett:gecco07 Evolving Explicit Opponent Models for Game Play]''. [https://dblp.uni-trier.de/db/conf/gecco/gecco2007c.html GECCO 2007]
* [[Alan J. Lockett]], [[Risto Miikkulainen]] ('''2008'''). ''[http://nn.cs.utexas.edu/?lockett:cig08 Evolving Opponent Models for Texas Hold 'Em]''. [https://dblp.uni-trier.de/db/conf/cig/cig2008.html CIG 2008]
==2010 ...==
* [[Alan J. Lockett]], [[Risto Miikkulainen]] ('''2011'''). ''[http://www.cs.utexas.edu/users/ai-lab/?lockett:gecco11 Real-Space Evolutionary Annealing]''. [https://dblp.uni-trier.de/db/conf/gecco/gecco2011.html GECCO 2011]
* [[Alan J. Lockett]] ('''2012'''). ''General-Purpose Optimization Through Information Maximization''. Ph.D. thesis, [https://en.wikipedia.org/wiki/University_of_Texas_at_Austin University of Texas at Austin], advisor [[Risto Miikkulainen]], [http://www.alockett.com/static/pdf/lockett-thesis.pdf pdf]
* [[Alan J. Lockett]], [[Risto Miikkulainen]] ('''2013'''). ''[http://nn.cs.utexas.edu/?lockett:foga2013 A Measure-Theoretic Analysis of Stochastic Optimization]''. [https://dblp.uni-trier.de/db/conf/foga/foga2013.html FOGA 2013]
* [[Alan J. Lockett]] ('''2014'''). ''[https://www.semanticscholar.org/paper/Model-optimal-optimization-by-solving-bellman-Lockett/f76b37009ae77688403ea1665c597faa448d89e9 Model-optimal optimization by solving bellman equations]''. [https://dblp.uni-trier.de/db/conf/gecco/gecco2014.html GECCO 2014] <ref>[https://en.wikipedia.org/wiki/Bellman_equation Bellman equation from Wikipedia]</ref>
* [[Alan J. Lockett]], [[Risto Miikkulainen]] ('''2014'''). ''[http://nn.cs.utexas.edu/?lockett:jogo13 Evolutionary Annealing: Global Optimization in Arbitrary Measure Spaces]''. [https://www.springer.com/journal/10898 Journal of Global Optimization], Vol. 58
* [https://scholar.google.com/citations?user=52L53fEAAAAJ&hl=en Marijn F. Stollenga], [[Alan J. Lockett]], [[Jürgen Schmidhuber]] ('''2015'''). ''[https://ieeexplore.ieee.org/abstract/document/7363550 The Natural Gradient as a control signal for a humanoid robot]''. [https://dblp.uni-trier.de/db/conf/humanoids/humanoids2015.html Humanoids 2015]
* [[Alan J. Lockett]] ('''2015'''). ''[https://dl.acm.org/doi/10.1145/2725494.2725501 Insights From Adversarial Fitness Functions]''. [https://dblp.uni-trier.de/db/conf/foga/foga2015.html FOGA 2015], [http://www.alockett.com/static/pdf/lockett-foga2015.pdf pdf (extended abstract)]
=External Links=
* [http://www.alockett.com/ Alan J Lockett's Optimization Research]
* [http://nn.cs.utexas.edu/?alanlockett NNRG People - Alan J. Lockett]
* [https://scholar.google.ch/citations?user=fAhufycAAAAJ&hl=en Alan J Lockett - Google Scholar]
=References=
<references />
'''[[People|Up one Level]]'''
[[Category:Researcher|Lockett]]
