Evolving large-scale neural networks for vision-based reinforcement learning J Koutník, G Cuccu, J Schmidhuber, F Gomez Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013 | 237 | 2013 |
When novelty is not enough G Cuccu, F Gomez European conference on the applications of evolutionary computation, 234-243, 2011 | 130 | 2011 |
Playing atari with six neurons G Cuccu, J Togelius, P Cudré-Mauroux arXiv preprint arXiv:1806.01363, 2018 | 56 | 2018 |
Intrinsically motivated neuroevolution for vision-based reinforcement learning G Cuccu, M Luciw, J Schmidhuber, F Gomez 2011 IEEE International Conference on Development and Learning (ICDL) 2, 1-7, 2011 | 45 | 2011 |
Marta: Leveraging human rationales for explainable text classification I Arous, L Dolamic, J Yang, A Bhardwaj, G Cuccu, P Cudré-Mauroux Proceedings of the AAAI conference on artificial intelligence 35 (7), 5868-5876, 2021 | 42 | 2021 |
Novelty-based restarts for evolution strategies G Cuccu, F Gomez, T Glasmachers 2011 IEEE Congress of Evolutionary Computation (CEC), 158-163, 2011 | 31 | 2011 |
Artificial curiosity for autonomous space exploration V Graziano, T Glasmachers, T Schaul, L Pape, G Cuccu, J Leitner, ... Acta Futura 4, 41-51, 2011 | 28 | 2011 |
A data-driven approach to predict NOx-emissions of gas turbines G Cuccu, S Danafar, P Cudré-Mauroux, M Gassner, S Bernero, ... 2017 IEEE International Conference on Big Data (Big Data), 1283-1288, 2017 | 21 | 2017 |
Analyzing reinforcement learning benchmarks with random weight guessing D Oller, T Glasmachers, G Cuccu arXiv preprint arXiv:2004.07707, 2020 | 17 | 2020 |
A study of genetic programming variable population size for dynamic optimization problems L Vanneschi, G Cuccu International Conference on Evolutionary Computation 2, 119-126, 2009 | 13 | 2009 |
Variable size population for dynamic optimization with genetic programming L Vanneschi, G Cuccu Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 8 | 2009 |
Block diagonal natural evolution strategies G Cuccu, F Gomez International Conference on Parallel Problem Solving from Nature, 488-497, 2012 | 7 | 2012 |
Playing Atari with few neurons: Improving the efficacy of reinforcement learning by decoupling feature extraction and decision making G Cuccu, J Togelius, P Cudré-Mauroux Autonomous Agents and Multi-Agent Systems 35 (2), 17, 2021 | 6 | 2021 |
E-volving large-scale neural networks for vision-based torcs J Koutnı́k, G Cuccu, J Schmidhuber, FJ Gomez Foundations of Digital Games, 206-212, 2013 | 6 | 2013 |
Hydra: Cancer detection leveraging multiple heads and heterogeneous datasets G Cuccu, J Jobin, J Clément, A Bhardwaj, C Reischauer, H Thöny, ... 2020 IEEE International Conference on Big Data (Big Data), 4842-4849, 2020 | 3 | 2020 |
Extending the Applicability of Neuroevolution G Cuccu éditeur non identifié, 2018 | 3 | 2018 |
Reconstructing dynamic target functions by means of genetic programming using variable population size L Vanneschi, G Cuccu Computational Intelligence, 121-134, 2011 | 3 | 2011 |
Typhon: Parallel Transfer on Heterogeneous Datasets for Cancer Detection in Computer-Aided Diagnosis G Cuccu, C Broillet, C Reischauer, H Thoeny, P Cudré-Mauroux 2022 IEEE International Conference on Big Data (Big Data), 5223-5232, 2022 | 2 | 2022 |
DiBB: distributing black-box optimization G Cuccu, L Rolshoven, F Vorpe, P Cudré-Mauroux, T Glasmachers Proceedings of the Genetic and Evolutionary Computation Conference, 341-349, 2022 | 2 | 2022 |
Pre-Processing Segmentation Datasets for the Hydra Framework C Broillet, G Cuccu en. MA thesis. University of Fribourg, eXascale Infolab, 2022 | 1 | 2022 |