Publications

Export 11 results:
Author Keyword Title Type [ Year(Desc)]
Filters: Author is Soltoggio, Andrea  [Clear All Filters]
2011
Jones BH, Soltoggio A, Sendoff B, Yao X. 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
2013
Soltoggio A, Reinhart RF, Lemme A, Steil JJ. 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 (1.77 MB)
Soltoggio A, Lemme A. 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 (747.67 KB)
Soltoggio A, Lemme A, Reinhart RF, Steil JJ. 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 (2.01 MB)
Soltoggio A, Steil JJ. 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 (896.67 KB)
2014
Fontana A, Soltoggio A, Wrobel B. 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. (1.09 MB)
Pugh JK, Soltoggio A, Stanley KO. 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
Soltoggio A. Short-term plasticity as cause-effect hypothesis testing in distal reward learning . Biological Cybernetics [Internet]. 2014 . Available from: http://arxiv.org/abs/1402.0710

Recent Publications