Publications
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Filters: Author is Soltoggio, Andrea [Clear All Filters]
POET: an evo-devo method to optimize the weights of a large artificial neural networks. In: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE XIV). Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE XIV). New York City, USA: Cambridge MA: MIT Press; 2014.
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Real-time Hebbian Learning from Autoencoder Features for Control Tasks. In: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE XIV). Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE XIV). New York City: MIT Cambridge; 2014. Available from: http://eplex.cs.ucf.edu/papers/pugh_alife14.pdf
. Short-term plasticity as cause-effect hypothesis testing in distal reward learning . Biological Cybernetics [Internet]. 2014 . Available from: http://arxiv.org/abs/1402.0710
. Learning the rules of a game: neural conditioning in human-robot interaction with delayed rewards. In: Proceedings of the Third Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics - Osaka, Japan - August 2013. Proceedings of the Third Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics - Osaka, Japan - August 2013. ; 2013. Available from: http://andrea.soltoggio.net/data/projects/icub-rock-paper-scissors/soltoggioReinhartLemmeICDL2013preprint.pdf
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Movement Primitives as a Robotic Tool to Interpret Trajectories in Learning-by-doing. International Journal of Automation and Computing [Internet]. 2013 ;10:375-386. Available from: http://goo.gl/3Eiu7V
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Rare neural correlations implement robotic conditioning with delayed rewards and disturbances. Frontiers in Neurorobotics [Internet]. 2013 . Available from: http://andrea.soltoggio.net/data/papers/soltoggioLemmeReinhartFrontiers2013.pdf
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Solving the Distal Reward Problem with Rare Correlations. Neural Computation [Internet]. 2013 ;25(4):978. Available from: http://andrea.soltoggio.net/data/papers/soltoggioSteilNeuralComputation2012.pdf
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From Modulated Hebbian Plasticity to Simple Behavior Learning through Noise and Weight Saturation. Neural Networks Journal [Internet]. 2012 ;34. Available from: http://andrea.soltoggio.net/data/papers/soltoggioStanley2012NNs.pdf
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How rich motor skills empower robots at last: insights and progress of the AMARSi Project. Künstliche Intelligenz [Internet]. 2012 . Available from: http://andrea.soltoggio.net/data/papers/soltoggioSteil2012KI.pdf
. Using movement primitives in interpreting and decomposing complex trajectories in learning-by-doing. In: Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO 2012). Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO 2012). ; 2012. Available from: http://andrea.soltoggio.net/data/papers/soltoggioLemmeSteilROBIO2012Preprint.pdf
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Evolution of Neural Symmetry and its Coupled Alignment to Body Plan Morphology. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 11). Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 11). ; 2011. Available from: http://andrea.soltoggio.net/data/papers/gecco2011_JonesSoltoggioSendhoffYao.pdf
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