| Document Date: 2013-05-15 08:23:14
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City Charlotte / Mary / New York / / Company IEEE Press / Cambridge University Press / Neural Networks / Dynamical Recurrent Neural Networks / / / IndustryTerm graph rewriting systems / well networks / network topology evolution algorithms / reinforcement learning algorithms / end products / multiobjective evolutionary algorithm / recurrent networks / genetic algorithms / non-gradient-based training algorithms / speech processing / recurrent network / multiobjective genetic algorithm / on-line handwriting recognition / evolutionary algorithms / learning solutions / direct topology evolution algorithm / bidirectional long short-term memory networks / recurrent policy gradient algorithm / / MarketIndex bm an as a second / / Organization Cambridge University / / Person Ana / Cathy / Morgan Kaufmann / Justin Bayer / Julian Togelius / / / Position Executive / / ProvinceOrState New York / / PublishedMedium Journal of Machine Learning Research / Complex Systems / IEEE Transactions on Evolutionary Computation / / Technology reinforcement learning algorithms / NEAT algorithm / 3 Ghz processor / neural network / non-gradient-based training algorithms / multiobjective genetic algorithm / NEAT-inspired direct topology evolution algorithm / network topology evolution algorithms / Machine Learning / multiobjective evolutionary algorithm / recombination / recurrent policy gradient algorithm / 2.2 Evolutionary algorithm / /
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Evolving memory cell structures for sequence learning Justin Bayer, Daan Wierstra, Julian Togelius and J¨ urgen Schmidhuber IDSIA, Galleria 2, 6928 Manno-Lugano, Switzerland {justin, daan, julian, juergen}@idsia.ch