Andrea Soltoggio

CoRR, 2023

$\mathrm{R}^{3}$: On-Device Real-Time Deep Reinforcement Learning for Autonomous Robotics.

[BibT_eX]

[DOI]

Proceedings of the IEEE Real-Time Systems Symposium, 2023

Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks.

[BibT_eX]

[DOI]

Saptarshi Nath

Christos Peridis

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture.

[BibT_eX]

[DOI]

Pawel Ladosz

IEEE Trans. Neural Networks Learn. Syst., 2022

Context meta-reinforcement learning via neuromodulation.

[BibT_eX]

[DOI]

Neural Networks, 2022

Biological underpinnings for lifelong learning machines.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2022

Lifelong Reinforcement Learning with Modulating Masks.

[BibT_eX]

[DOI]

CoRR, 2022

Wasserstein Task Embedding for Measuring Task Similarities.

[BibT_eX]

[DOI]

CoRR, 2022

Flexible Path Planning in a Spiking Model of Replay and Vicarious Trial and Error.

[BibT_eX]

[DOI]

Proceedings of the From Animals to Animats 16, 2022

2021

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

[BibT_eX]

[DOI]

Mach. Learn. Sci. Technol., 2021

2020

Detecting Changes and Avoiding Catastrophic Forgetting in Dynamic Partially Observable Environments.

[BibT_eX]

[DOI]

Jeffery Dick

Pawel Ladosz

Frontiers Neurorobotics, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Virtual Reality Study of Human Adaptability in Industrial Human-Robot Collaboration.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Human-Machine Systems, 2020

Evolving inborn knowledge for fast adaptation in dynamic POMDP problems.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

A fully convolutional two-stream fusion network for interactive image segmentation.

[BibT_eX]

[DOI]

Neural Networks, 2019

Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture.

[BibT_eX]

[DOI]

Pawel Ladosz

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Halfway to the Future Symposium 2019, 2019

2018

Distributed Task Rescheduling With Time Constraints for the Optimization of Total Task Allocations in a Multirobot System.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks.

[BibT_eX]

[DOI]

Kenneth O. Stanley

Sebastian Risi

Neural Networks, 2018

Fast consensus for fully distributed multi-agent task allocation.

[BibT_eX]

[DOI]

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Neural Networks for Efficient Nonlinear Online Clustering.

[BibT_eX]

[DOI]

Eugénie Hunsicker

Proceedings of the Neural Information Processing - 24th International Conference, 2017

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

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Building Efficient Deep Hebbian Networks for Image Classification Tasks.

[BibT_eX]

[DOI]

Eugénie Hunsicker

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2015

Editorial: Neural plasticity for rich and uncertain robotic information streams.

[BibT_eX]

[DOI]

Frank van der Velde

Frontiers Neurorobotics, 2015

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

[BibT_eX]

[DOI]

Biol. Cybern., 2015

2014

Real-time Hebbian Learning from Autoencoder Features for Control Tasks.

[BibT_eX]

[DOI]

Justin K. Pugh

Kenneth O. Stanley

Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems, 2014

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

[BibT_eX]

[DOI]

Alessandro Fontana

Borys Wróbel

Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems, 2014

2013

Solving the Distal Reward Problem with Rare Correlations.

[BibT_eX]

[DOI]

Jochen J. Steil

Neural Comput., 2013

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

[BibT_eX]

[DOI]

Andre Lemme

Int. J. Autom. Comput., 2013

Rare Neural Correlations Implement Robotic Conditioning with Delayed Rewards and Disturbances.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, 2013

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

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013

2012

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

[BibT_eX]

[DOI]

Kenneth O. Stanley

Neural Networks, 2012

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

[BibT_eX]

[DOI]

Jochen J. Steil

Künstliche Intell., 2012

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

[BibT_eX]

[DOI]

Andre Lemme

Jochen J. Steil

Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics, 2012

2011

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

[BibT_eX]

[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2009

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

[BibT_eX]

[DOI]

Ben Jones

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008

Neural Plasticity and Minimal Topologies for Reward-Based Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

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

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2007

Evolving neuromodulatory topologies for reinforcement learning-like problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

A simple line search operator for ridged landscapes.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2005

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

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004

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

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation, 2004

GP and GA in the design of a constrained control system with disturbance rejection.

[BibT_eX]

[DOI]