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Simón C. Smith
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2020 – today
- 2023
- [j4]Maxime Allard
, Simón C. Smith
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity. ACM Trans. Evol. Learn. Optim. 3(2): 6:1-6:23 (2023) - [c9]Simón C. Smith
Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning. GECCO Companion 2023: 171-174 - [i7]Simón C. Smith, Bryan Lim, Hannah Janmohamed, Antoine Cully:
Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning. CoRR abs/2304.12080 (2023) - 2022
- [c8]Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Antoine Cully:
Hierarchical quality-diversity for online damage recovery. GECCO 2022: 58-67 - [i6]Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Antoine Cully:
Hierarchical Quality-Diversity for Online Damage Recovery. CoRR abs/2204.05726 (2022) - [i5]Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Bryan Lim, Antoine Cully:
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity. CoRR abs/2210.09918 (2022) - [i4]Manon Flageat, Bryan Lim, Luca Grillotti, Maxime Allard, Simón C. Smith, Antoine Cully:
Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning. CoRR abs/2211.02193 (2022) - 2021
- [c7]Francisco Javier Chiyah Garcia
Self-Explainable Robots in Remote Environments. HRI (Companion) 2021: 662-664 - [c6]Simón C. Smith, Subramanian Ramamoorthy:
Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots. IROS 2021: 6546-6551 - [i3]Simón C. Smith, Subramanian Ramamoorthy:
Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots. CoRR abs/2108.03150 (2021) - 2020
- [j3]Simón C. Smith, Richard Dharmadi, Calum Imrie, Bailu Si, J. Michael Herrmann:
The DIAMOND Model: Deep Recurrent Neural Networks for Self-Organizing Robot Control. Frontiers Neurorobotics 14: 62 (2020) - [c5]Simón C. Smith, Subramanian Ramamoorthy:
Counterfactual Explanation and Causal Inference In Service of Robustness in Robot Control. ICDL-EPIROB 2020: 1-8 - [c4]Simón C. Smith, Subramanian Ramamoorthy:
Semi-supervised Learning From Demonstration Through Program Synthesis: An Inspection Robot Case Study. AREA@ECAI 2020: 81-101 - [i2]Simón C. Smith, Subramanian Ramamoorthy:
Counterfactual Explanation and Causal Inference in Service of Robustness in Robot Control. CoRR abs/2009.08856 (2020)
2010 – 2019
- 2019
- [j2]Simón C. Smith, J. Michael Herrmann
Evaluation of Internal Models in Autonomous Learning. IEEE Trans. Cogn. Dev. Syst. 11(4): 463-472 (2019) - 2018
- [j1]Martin Biehl, Christian Guckelsberger
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop. Frontiers Neurorobotics 12: 45 (2018) - [i1]Martin Biehl, Christian Guckelsberger, Christoph Salge, Simón C. Smith, Daniel Polani:
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop. CoRR abs/1806.08083 (2018) - 2013
- [c3]Simón C. Smith, J. Michael Herrmann:
Self-Organisation of Generic Policies in Reinforcement Learning. ECAL 2013: 641-648 - 2011
- [c2]Simón C. Smith, J. Michael Herrmann:
Homeokinetic Reinforcement Learning. PSL 2011: 82-91
2000 – 2009
- 2006
- [c1]Simón C. Smith, M. Andrea Rodríguez
Clustering-Based Searching and Navigation in an Online News Source. ECIR 2006: 143-154
Coauthor Index
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