Alan J. Lockett

From Chessprogramming wiki
Jump to: navigation, search

Home * People * Alan J. Lockett

Alan J. Lockett [1]

Alan J. Lockett,
an American computer scientist, Ph.D. from University of Texas at Austin under Risto Miikkulainen. In his thesis on machine learning and global optimization, he introduced the martingale based Evolutionary Annealing, which resembles an evolutionary algorithms to approximates samples from an increasingly sharp Boltzmann distribution, asymptotically focusing on the global optima. Neuroannealing applies evolutionary annealing to evolve and learn neural networks [2]. His further research interests include humanoid robotics, deep learning and opponent modelling in games.

Selected Publications

[3] [4]

2007 ...

2010 ...

External Links


Up one Level