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Publications for Andrea Soltoggio
Soltoggio, A, Stanley, KO, Risi, S Born to Learn: the Inspiration, Progress, and Future
of Evolved Plastic Artificial Neural Networks.
Bahroun, Y and Soltoggio, A Online Representation Learning with Multi-layer Hebbian
Networks for Image Classification Tasks. In International Conference on Artificial Neural
Networks, Alghero, Italy.
Soltoggio, A and van der Velde, F, (ed) (2016) Neural Plasticity for Rich and Uncertain
Robotic Information Streams,ISBN: 978-2-88919-995-2. DOI: 10.3389/978-2-88919995-2.
Soltoggio, A and van der Velde, F, (ed) (2016) Neural Plasticity for Rich and Uncertain
Robotic Information Streams,ISBN: 978-2-88919-995-2. DOI: 10.3389/978-2-88919995-2.
Soltoggio, A and van der Velde, F (2015) Neural plasticity for rich and uncertain robotic
information streams, Frontiers in Neurorobotics, 9(12), ISSN: 1662-5218. Full text:
http://journal.frontiersin.org/article/10.3389/fnbot.2015.00012/full. DOI:
10.3389/fnbot.2015.00012.
Soltoggio, A, Blaesing, B, Moscatelli, A, Schack, T (2015) The Aikido inspiration to
safety and efficiency: an investigation on forward roll impact forces. In 10th International
Symposium on Computer Science in Sports, Loughborough, UK, pp.119-127, ISBN:
978-3-319-24560-7. DOI: 10.1007/978-3-319-24560-7_15.
Chung, P, Soltoggio, A, Dawson, C, Meng, Q, Pain, M (ed) (2015) Proceedings of the
10th International Symposium on Computer Science in Sports (ISCSS), Springer, ISBN:
978-3-319-24558-4. Full text: http://link.springer.com/book/10.1007/978-3-319-24560-7.
DOI: 10.1007/978-3-319-24560-7.
Chung, P, Soltoggio, A, Dawson, C, Meng, Q, Pain, M (ed) (2015) Proceedings of the
10th International Symposium on Computer Science in Sports (ISCSS), Springer, ISBN:
978-3-319-24558-4. Full text: http://link.springer.com/book/10.1007/978-3-319-24560-7.
DOI: 10.1007/978-3-319-24560-7.
Soltoggio, A (2014) Short-term plasticity as cause-effect hypothesis testing in distal
reward learning, Biological Cybernetics, 109(1), pp.75-94, Full text:
http://link.springer.com/article/10.1007/s00422-014-0628-0#page-1. DOI:
10.1007/s00422-014-0628-0.
Fontana, A, Soltoggio, A, Wrobel, B (2014) 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). Cambridge, MA: MIT Press, 2014, New York, USA, pp.1-8.
Pugh, JK, Soltoggio, A, Stanley, KO (2014) Real-time Hebbian Learning from
Autoencoder Features for Control Tasks. In Fourteenth International Conference on the
Synthesis and Simulation of Living Systems (ALIFE XIV), NYC, USA.
Soltoggio, A (2014) Short-term plasticity as cause-effect hypothesis testing in distal
reward learning, Andrea Soltoggio. Full text: http://andrea.soltoggio.net/HTP/ .
Soltoggio, A, Steil, Jochen, Kappel, David, Pecevski, Dejan, Rueckert, Elmar, Maass,
Wolfgang, (2014) Technical report on Meta-learning Approaches - Adaptive Modular
Architectures for Rich Motor Skills (ICT-248311), European Union.
Soltoggio, A (2013) Short and long term plasticity as cause-effect hypothesis testing in
robotic ambiguous scenarios, Bernstein Sparks Workshop. NeuroEnginneering the
Brain: from Neuroscience to Robotics ..and back.
Soltoggio, A and Lemme, A (2013) Movement primitives as a robotic tool to interpret
trajectories through learning-by-doing, International Journal of Automation and
Computing, 10(5), pp.375-386, ISSN: 1476-8186. DOI: 10.1007/s11633-013-0734-9.
Soltoggio, A and Lemme, Andre, (2013) Movement Primitives as a Robotic Tool to
Interpret Trajectories through Learning-by-doing, Full text:
https://www.youtube.com/watch?v=ecOoW7T6xFo&list=UU9aKxPj7hjMAhLp8atu3Gcg .
Soltoggio, A (2013) From Modulated Hebbian Plasticity to Simple Behavior Learning
through Noise and Weight Saturation, Full text: https://www.youtube.com/watch?v=JsUzj4xu7o&list=UU9aKxPj7hjMAhLp8atu3Gcg .
Soltoggio, A, Lemme, A, Reinhart, F, Steil, J (2013) Rare neural correlations
implement robotic conditioning with delayed rewards and disturbances, Frontiers in
Neurorobotics, Frontiers in Neurorobotics, 6, pp.1-18, DOI: 10.3389/fnbot.2013.00006.
Soltoggio, A, Lemme, Andre, Reinhart, Felix, (2013) Neural learning with robot:
copying with delayed rewards and disturbances, Full text:
https://www.youtube.com/watch?v=bLo9VZB-sQk&feature=youtu.be .
Soltoggio, A, Reinhart, F, Lemme, A, Steil, J (2013) Learning the rules of a game:
Neural conditioning in human-robot interaction with delayed rewards. In , 2013 IEEE 3rd
Joint International Conference on Development and Learning and Epigenetic Robotics,
ICDL 2013 - Electronic Conference Proceedings,ISBN: 9781479910366. DOI:
10.1109/DevLrn.2013.6652572.
Soltoggio, A and Steil, JJ (2013) Solving the distal reward problem with rare
correlations, Neural Computation, 25(4), pp.940-978, ISSN: 0899-7667. DOI:
10.1162/NECO_a_00419.
Soltoggio, A and Lemme, A, (2012) Using movement primitives in interpreting and
decomposing complex trajectories in learning-by-doing, Research Institute for Cognition
and Robotics. Full text: http://www.cor-lab.de/decomp .
Soltoggio, A and Steil, J (2012) How Rich Motor Skills Empower Robots at Last:
Insights and Progress of the AMARSi Project, Kuenstlich Intelligenz, 26(4), pp.407-410.
Soltoggio, A and Stanley, KO (2012) From modulated Hebbian plasticity to simple
behavior learning through noise and weight saturation, Neural Networks, 34, pp.28-41,
ISSN: 0893-6080. DOI: 10.1016/j.neunet.2012.06.005.
Soltoggio, A and Steil, Jochen, (2012) Solving the distal reward problem with rare
correlations, Andrea Soltoggio. Full text: http://andrea.soltoggio.net/data/projects/RCHP/
.
Soltoggio, A (2012) From Modulated Hebbian Plasticity to Simple Behavior Learning
through Noise and Weight Saturation - Matlab code, Andrea Soltoggio. Full text:
http://andrea.soltoggio.net/work/publications .
Soltoggio, A, Lemme, Andre, Steil, Jochen, (2012) Iterative Decomposition of Complex
Trajectories, Full text: https://www.youtube.com/watch?v=Gm92_Ru7Kw&list=PL41788273C1027A4D .
Soltoggio, A, Lemme, A, Steil, JJ (2012) Using movement primitives in interpreting and
decomposing complex trajectories in learning-by-doing. In , 2012 IEEE International
Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest, pp.14271433, ISBN: 9781467321273. DOI: 10.1109/ROBIO.2012.6491169.
Ben, J, Soltoggio, A, Sendhoff, B, Yao, X (2011) Evolution of neural symmetry and its
coupled alignment to body plan morphology. In , Genetic and Evolutionary Computation
Conference, GECCO'11, pp.235-242, ISBN: 9781450305570. DOI:
10.1145/2001576.2001609.
Soltoggio, A and Jones, B (2009) Novelty of behaviour as a basis for the neuroevolution of operant reward learning. In , Proceedings of the 11th Annual Genetic and
Evolutionary Computation Conference, GECCO-2009, pp.169-176, ISBN:
9781605583259. DOI: 10.1145/1569901.1569925.
Soltoggio, A (2008) Evolutionary and Computational Advantages of Neuromodulated
Plasticity.
Soltoggio, A (2008) Phylogenetic Onset and Dynamics of Neuromodulation in Learning
Neural Models. In Young Physiologists’ Symposium, Cambridge, UK, pp.1-1.
Soltoggio, A, Bullinaria, JA, Mattiussi, C, Dürr, P, Floreano, D (Accepted for
publication) Evolutionary advantages of neuromodulated plasticity in dynamic, rewardbased scenarios. In Artificial Life XI: Proceedings of the Eleventh International
Conference on the Simulation and Synthesis of Living Systems, Winchester, UK,
pp.569-576, ISBN: 978-0-262-28719-7.
Dürr, P, Mattiussi, C, Soltoggio, A, Floreano, D (2008) Evolvability of neuromodulated
learning for robots. In , Proceedings of the 2008 ECSIS Symposium on Learning and
Adaptive Behaviors for Robotic Systems, LAB-RS 2008, pp.41-46, ISBN:
9780769532721. DOI: 10.1109/LAB-RS.2008.22.
Soltoggio, A (2008) Neural plasticity and minimal topologies for reward-based learning.
In , Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008,
pp.637-642, ISBN: 9780769533261. DOI: 10.1109/HIS.2008.155.
Soltoggio, A, Dürr, P, Mattiussi, C, Floreano, D (2007) Evolving neuromodulatory
topologies for reinforcement learning-like problems. In , 2007 IEEE Congress on
Evolutionary Computation, CEC 2007, pp.2471-2478, ISBN: 1424413400. DOI:
10.1109/CEC.2007.4424781.
Soltoggio, A (2006) A simple line search operator for ridged landscapes. In , GECCO
2006 - Genetic and Evolutionary Computation Conference, pp.503-504, ISBN:
1595931864.
Soltoggio, A (2005) An enhanced GA to improve the search process reliability in tuning
of control systems. In , GECCO 2005 - Genetic and Evolutionary Computation
Conference, pp.2165-2172, ISBN: 1595930108. DOI: 10.1145/1068009.1068365.
Soltoggio, A (2004) Evolutionary Algorithms in the Design and Tuning of a Control
System.
Soltoggio, A (2004) A comparison of genetic programming and genetic algorithms in
the design of a robust, saturated control system. In , Lecture Notes in Computer
Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in
Bioinformatics), pp.174-185.
Soltoggio, A (2004) GP and GA in the design of a constrained control system with
disturbance rejection. In , IEEE International Symposium on Intelligent Control Proceedings, pp.477-482.
Soltoggio, A (2003) A Case Study of a Genetically Evolved Control System, Norwegian
University of Science and Technology.