Giuseppe Cuccu

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 11

Top Topics

Linear Value Function Approximation

Extended Abstract

Top Venues

Publications

Giuseppe Cuccu, Luca Rolshoven, Fabien Vorpe, Philippe Cudré-Mauroux, Tobias Glasmachers
DiBB: distributing black-box optimization. GECCO (2022)
Giuseppe Cuccu, Christophe Broillet, Carolin Reischauer, Harriet Thöny, Philippe Cudré-Mauroux
Typhon: Parallel Transfer on Heterogeneous Datasets for Cancer Detection in Computer-Aided Diagnosis. Big Data (2022)
Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux
Playing Atari with few neurons. Auton. Agents Multi Agent Syst. 35 (2) (2021)
Ines Arous, Ljiljana Dolamic, Jie Yang, Akansha Bhardwaj, Giuseppe Cuccu, Philippe Cudré-Mauroux
MARTA: Leveraging Human Rationales for Explainable Text Classification. AAAI (2021)
Declan Oller, Tobias Glasmachers, Giuseppe Cuccu
Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing. AAMAS (2020)
Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux
Playing Atari with Six Neurons (Extended Abstract). IJCAI (2020)
Declan Oller, Tobias Glasmachers, Giuseppe Cuccu
Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing. CoRR (2020)
Giuseppe Cuccu, Johan Jobin, Julien Clément, Akansha Bhardwaj, Carolin Reischauer, Harriet Thöny, Philippe Cudré-Mauroux
Hydra: Cancer Detection Leveraging Multiple Heads and Heterogeneous Datasets. IEEE BigData (2020)
Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux
Playing Atari with Six Neurons. AAMAS (2019)
Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux
Playing Atari with Six Neurons. CoRR (2018)
Giuseppe Cuccu, Somayeh Danafar, Philippe Cudré-Mauroux, Martin Gassner, Stefano Bernero, Krzysztof Kryszczuk
A data-driven approach to predict NOx-emissions of gas turbines. IEEE BigData (2017)
Jan Koutník, Giuseppe Cuccu, Jürgen Schmidhuber, Faustino J. Gomez
Evolving large-scale neural networks for vision-based TORCS. FDG (2013)
Jan Koutník, Giuseppe Cuccu, Jürgen Schmidhuber, Faustino J. Gomez
Evolving large-scale neural networks for vision-based reinforcement learning. GECCO (2013)
Giuseppe Cuccu, Faustino J. Gomez
Block Diagonal Natural Evolution Strategies. PPSN (2) (2012)
Giuseppe Cuccu, Matthew D. Luciw, Jürgen Schmidhuber, Faustino J. Gomez
Intrinsically motivated neuroevolution for vision-based reinforcement learning. ICDL-EPIROB (2011)
Giuseppe Cuccu, Faustino J. Gomez
When Novelty Is Not Enough. EvoApplications (1) (2011)
Giuseppe Cuccu, Faustino J. Gomez, Tobias Glasmachers
Novelty-based restarts for evolution strategies. IEEE Congress on Evolutionary Computation (2011)
Leonardo Vanneschi, Giuseppe Cuccu
A Study of Genetic Programming Variable Population Size for Dynamic Optimization Problems. IJCCI (2009)
Leonardo Vanneschi, Giuseppe Cuccu
Variable size population for dynamic optimization with genetic programming. GECCO (2009)