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Simón C. Smith
Simón C. Smith
Lecturer, Edinburgh Napier University
Verified email at imperial.ac.uk
Title
Cited by
Cited by
Year
Expanding the active inference landscape: more intrinsic motivations in the perception-action loop
M Biehl, C Guckelsberger, C Salge, SC Smith, D Polani
Frontiers in neurorobotics 12, 387187, 2018
322018
Benchmarking quality-diversity algorithms on neuroevolution for reinforcement learning
M Flageat, B Lim, L Grillotti, M Allard, SC Smith, A Cully
arXiv preprint arXiv:2211.02193, 2022
142022
Hierarchical quality-diversity for online damage recovery
M Allard, SC Smith, K Chatzilygeroudis, A Cully
Proceedings of the Genetic and Evolutionary Computation Conference, 58-67, 2022
132022
Counterfactual explanation and causal inference in service of robustness in robot control
SC Smith, S Ramamoorthy
2020 Joint IEEE 10th International Conference on Development and Learning …, 2020
132020
Online damage recovery for physical robots with hierarchical quality-diversity
M Allard, SC Smith, K Chatzilygeroudis, B Lim, A Cully
ACM Transactions on Evolutionary Learning 3 (2), 1-23, 2023
102023
Clustering-based searching and navigation in an online news source
SC Smith, MA Rodríguez
European Conference on Information Retrieval, 143-154, 2006
82006
Evaluation of internal models in autonomous learning
SC Smith, JM Herrmann
IEEE Transactions on Cognitive and Developmental Systems 11 (4), 463-472, 2018
62018
The DIAMOND model: deep recurrent neural networks for self-organizing robot control
SC Smith, R Dharmadi, C Imrie, B Si, JM Herrmann
Frontiers in Neurorobotics 14, 62, 2020
52020
Homeokinetic reinforcement learning
SC Smith, JM Herrmann
IAPR International Workshop on Partially Supervised Learning, 82-91, 2011
52011
Semi-supervised Learning From Demonstration Through Program Synthesis: An Inspection Robot Case Study
SC Smith, S Ramamoorthy
Electronic Proceedings in Theoretical Computer Science 319 (2075-2180), 81-101, 2020
32020
Decoupled sampling-based motion planning for multiple autonomous marine vehicles
NC Volpi, SC Smith, AM Pascoal, E Simetti, A Turetta, M Alibani, D Polani
OCEANS 2018 MTS/IEEE Charleston, 1-7, 2018
32018
Free energy, empowerment, and predictive information compared
M Biehl, C Guckelsberger, C Salge, SC Smith, D Polani
22018
Self-organisation of internal models in autonomous robots
SC Smith Bize
The University of Edinburgh, 2016
22016
Attainment regions in feature-parameter space for high-level debugging in autonomous robots
SC Smith, S Ramamoorthy
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
12021
Self-explainable robots in remote environments
FJ Chiyah Garcia, SC Smith, J Lopes, S Ramamoorthy, H Hastie
Companion of the 2021 ACM/IEEE International Conference on Human-Robot …, 2021
12021
Self-organisation of generic policies in reinforcement learning
SC Smith, JM Herrmann
ADVANCES IN ARTIFICIAL LIFE, ECAL 2013, 641-648, 2013
12013
Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning
SC Smith, B Lim, H Janmohamed, A Cully
Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023
2023
Hierarchical quality-diversity for online damage recovery
M Allard, SC Smith, K Chatzilygeroudis, A Cully
Proceedings of the Genetic and Evolutionary Computation Conference, 58-67, 2022
2022
Decoupled Sampling-Based Motion Planning for Multiple Autonomous Marine Vehicles
N Catenacci Volpi, SC Smith, A Pascoal, E Simetti, A Turetta, M Alibani, ...
2018
Deep recurrent neural networks for self-organising robot control
SC Smith, R Dharmadi, B Si, JM Herrmann
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