Andrea Soltoggio

发表

Fast consensus for fully distributed multi-agent task allocation

Gerald Schaefer, Joanna Turner, Qinggang Meng, 2018, SAC.

Real-time Hebbian Learning from Autoencoder Features for Control Tasks

Kenneth O. Stanley, Andrea Soltoggio, Justin K. Pugh, 2018, ALIFE.

Evolution of neural symmetry and its coupled alignment to body plan morphology

Xin Yao, Bernhard Sendhoff, Ben Jones, 2011, GECCO '11.

An enhanced GA to improve the search process reliability in tuning of control systems

Andrea Soltoggio, Andrea Soltoggio, 2005, GECCO '05.

Improving the segmentation of scanning probe microscope images using convolutional neural networks

Andrea Soltoggio, Oliver M Gordon, Philip Moriarty, 2020 .

Proceedings of the 10th International Symposium on Computer Science in Sports (ISCSS)

Paul W. H. Chung, Andrea Soltoggio, Christian W. Dawson, 2016, Advances in Intelligent Systems and Computing.

Short-term plasticity as cause–effect hypothesis testing in distal reward learning

Andrea Soltoggio, A. Soltoggio, Andrea Soltoggio, 2014, Biological Cybernetics.

Neuromodulation Increases Decision Speed in Dynamic Environments

Andrea Soltoggio, 2008 .

The Aikido inspiration to safety and efficiency: an investigation on forward roll impact forces

Andrea Soltoggio, Bettina Bläsing, Thomas Schack, 2016 .

Editorial: Neural plasticity for rich and uncertain robotic information streams

Andrea Soltoggio, Frank van der Velde, 2015, Front. Neurorobot..

Building Efficient Deep Hebbian Networks for Image Classification Tasks

Andrea Soltoggio, Yanis Bahroun, Eugénie Hunsicker, 2017, ICANN.

Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations

Soheil Kolouri, Andrea Soltoggio, Praveen K. Pilly, 2020, ICLR.

Distributed Strategy Adaptation with a Prediction Function in Multi-Agent Task Allocation

Gerald Schaefer, Joanna Turner, Qinggang Meng, 2018, AAMAS.

Understanding Human Behaviour in Industrial Human-Robot Interaction by Means of Virtual Reality

Yee Mey Goh, Andrea Soltoggio, Peter Kinnell, 2019, HTTF.

Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks

Sebastian Risi, Kenneth O. Stanley, Andrea Soltoggio, 2017, Neural Networks.

Neural plasticity for rich and uncertain robotic information streams

Andrea Soltoggio, Frank van der Velde, 2016 .

A simple line search operator for ridged landscapes

Andrea Soltoggio, 2006, GECCO '06.

A Comparison of Genetic Programming and Genetic Algorithms in the Design of a Robust, Saturated Control System

Andrea Soltoggio, A. Soltoggio, Andrea Soltoggio, 2004, GECCO.

Novelty of behaviour as a basis for the neuro-evolution of operant reward learning

Ben Jones, Andrea Soltoggio, A. Soltoggio, 2009, GECCO.

Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture pdf

Jeffrey L. Krichmar, Soheil Kolouri, Andrea Soltoggio, 2019, ArXiv.

A Multi-Scale Mapping Approach Based on a Deep Learning CNN Model for Reconstructing High-Resolution Urban DEMs pdf

Yang Hu, Andrea Soltoggio, Xilin Xia, 2019, Water.

Online Representation Learning with Multi-layer Hebbian Networks for Image Classification Tasks pdf

Andrea Soltoggio, Yanis Bahroun, 2017, ArXiv.

Movement Primitives as a Robotic Tool to Interpret Trajectories Through Learning-by-doing

Andrea Soltoggio, Andre Lemme, A. Lemme, 2013, Int. J. Autom. Comput..

Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios

Dario Floreano, Claudio Mattiussi, Andrea Soltoggio, 2008, ALIFE.

From modulated Hebbian plasticity to simple behavior learning through noise and weight saturation

Kenneth O. Stanley, Andrea Soltoggio, A. Soltoggio, 2012, Neural Networks.

Neural Plasticity and Minimal Topologies for Reward-Based Learning

Andrea Soltoggio, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Improving the segmentation of scanning probe microscope images using convolutional neural networks pdf

Andrea Soltoggio, Steff Farley, Joanna Turner, 2020, Mach. Learn. Sci. Technol..

Solving the Distal Reward Problem with Rare Correlations

Jochen J. Steil, Andrea Soltoggio, J. Steil, 2013, Neural Computation.

Neural Networks for Efficient Nonlinear Online Clustering

Andrea Soltoggio, Yanis Bahroun, Eugénie Hunsicker, 2017, ICONIP.

Rare Neural Correlations Implement Robotic Conditioning with Delayed Rewards and Disturbances

Jochen J. Steil, René Felix Reinhart, Andrea Soltoggio, 2013, Front. Neurorobot..

Online Representation Learning with Single and Multi-layer Hebbian Networks for Image Classification

Andrea Soltoggio, Yanis Bahroun, Yanis Bahroun, 2017, ICANN.

Fast and automated biomarker detection in breath samples with machine learning pdf

Andrea Soltoggio, Martin Sykora, Michael Eddleston, 2020, ArXiv.

Convolutional neural networks for automated targeted analysis of raw gas chromatography-mass spectrometry data

Yang Hu, Andrea Soltoggio, Duncan B. McLaren, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation

Yang Hu, Steve Carter, Andrea Soltoggio, 2018, Neural Networks.

Evolving neuromodulatory topologies for reinforcement learning-like problems

Dario Floreano, Claudio Mattiussi, Andrea Soltoggio, 2007, 2007 IEEE Congress on Evolutionary Computation.

How Rich Motor Skills Empower Robots at Last: Insights and Progress of the AMARSi Project

Jochen J. Steil, Andrea Soltoggio, J. Steil, 2012, KI - Künstliche Intelligenz.

Learning the rules of a game: Neural conditioning in human-robot interaction with delayed rewards

Jochen J. Steil, René Felix Reinhart, Andrea Soltoggio, 2013, 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL).

Using movement primitives in interpreting and decomposing complex trajectories in learning-by-doing

Jochen J. Steil, Andrea Soltoggio, Andre Lemme, 2012, 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO).

Short and long term plasticity as cause-effect hypothesis testing in robotic ambiguous scenarios

Andrea Soltoggio, 2013 .

POET: An Evo-Devo Method to Optimize the Weights of Large Artificial Neural Networks

Andrea Soltoggio, Alessandro Fontana, Borys Wróbel, 2014, ALIFE.

SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings pdf

Soheil Kolouri, Andrea Soltoggio, Yuzhe Lu, 2021, ArXiv.

Robot apology as a post-accident trust-recovery control strategy in industrial human-robot interaction

Yee Mey Goh, Andrea Soltoggio, Peter Kinnell, 2021 .

Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture

Jeffrey L. Krichmar, Soheil Kolouri, Andrea Soltoggio, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Context Meta-Reinforcement Learning via Neuromodulation pdf

Andrea Soltoggio, Praveen K. Pilly, Eseoghene Ben-Iwhiwhu, 2021, ArXiv.

Untargeted Metabolomics Feature Clustering Approach for Clinical Breath Gas Chromatography-Mass Spectrometry Data

Andrea Soltoggio, William H. Nailon, Michael Eddleston, 2019 .

VOCCluster: Untargeted Metabolomics Feature Clustering Approach for Clinical Breath Gas Chromatography - Mass Spectrometry Data.

Andrea Soltoggio, William H. Nailon, C. L. Paul Thomas, 2019, Analytical chemistry.