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Faustino J. Gomez: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Faustino J. Gomez, Jürgen Schmidhuber, Risto Miikkulainen
    Efficient Non-linear Control Through Neuroevolution. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:654-662 [Conf]
  2. Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez
    Evolino for recurrent support vector machines. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:593-598 [Conf]
  3. Faustino J. Gomez, Risto Miikkulainen
    Active Guidance for a Finless Rocket Using Neuroevolution. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:2084-2095 [Conf]
  4. Faustino J. Gomez, Risto Miikkulainen
    Transfer of Neuroevolved Controllers in Unstable Domains. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:957-968 [Conf]
  5. Faustino J. Gomez, Jürgen Schmidhuber
    Co-evolving recurrent neurons learn deep memory POMDPs. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:491-498 [Conf]
  6. Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber
    Modeling systems with internal state using evolino. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1795-1802 [Conf]
  7. Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter, Jürgen Schmidhuber
    Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot. [Citation Graph (0, 0)][DBLP]
    IAS, 2006, pp:272-281 [Conf]
  8. Faustino J. Gomez, Jürgen Schmidhuber
    Evolving Modular Fast-Weight Networks for Control. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:383-389 [Conf]
  9. Alex Graves, Santiago Fernández, Faustino J. Gomez, Jürgen Schmidhuber
    Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:369-376 [Conf]
  10. Faustino J. Gomez, Risto Miikkulainen
    Solving Non-Markovian Control Tasks with Neuro-Evolution. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:1356-1361 [Conf]
  11. Jürgen Schmidhuber, Daan Wierstra, Faustino J. Gomez
    Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:853-858 [Conf]
  12. Jürgen Schmidhuber, Daan Wierstra, Matteo Gagliolo, Faustino J. Gomez
    Training Recurrent Networks by Evolino. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2007, v:19, n:3, pp:757-779 [Journal]
  13. Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter, Jürgen Schmidhuber
    Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]

  14. Sustaining diversity using behavioral information distance. [Citation Graph (, )][DBLP]


  15. Evolving neural networks in compressed weight space. [Citation Graph (, )][DBLP]


  16. Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning. [Citation Graph (, )][DBLP]


  17. Countering Poisonous Inputs with Memetic Neuroevolution. [Citation Graph (, )][DBLP]


  18. Learning what to ignore: Memetic climbing in topology and weight space. [Citation Graph (, )][DBLP]


  19. A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks. [Citation Graph (, )][DBLP]


  20. A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks. [Citation Graph (, )][DBLP]


  21. Evolino for recurrent support vector machines [Citation Graph (, )][DBLP]


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