Giuseppe Paolo

According to our database, Giuseppe Paolo authored at least 22 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Human in the Loop Adaptive Optimization for Improved Time Series Forecasting.

Malik Tiomoko, Hamza Cherkaoui, Giuseppe Paolo, Zhang Yili, Yu Meng, Zhang Keli, Hafiz Tiomoko Ali

CoRR, May, 2025

TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning.

Giuseppe Paolo, Abdelhakim Benechehab, Hamza Cherkaoui, Albert Thomas, Balázs Kégl

CoRR, February, 2025

AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting.

Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl

CoRR, February, 2025

Zero-shot Model-based Reinforcement Learning using Large Language Models.

Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Discovering and Exploiting Sparse Rewards in a Learned Behavior Space.

Giuseppe Paolo, Miranda Coninx, Alban Laflaquière, Stéphane Doncieux

Evol. Comput., 2024

Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level.

Antoine Grosnit, Alexandre Maraval, James Doran, Giuseppe Paolo, Albert Thomas, Refinath Shahul Hameed Nabeezath Beevi, Jonas Gonzalez, Khyati Khandelwal, Ignacio Iacobacci, Abdelhakim Benechehab, Hamza Cherkaoui, Youssef Attia El Hili, Kun Shao, Jianye Hao, Jun Yao, Balázs Kégl, Haitham Bou-Ammar, Jun Wang

CoRR, 2024

Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention.

Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko

CoRR, 2024

A call for embodied AI.

Giuseppe Paolo, Jonas Gonzalez-Billandon, Balázs Kégl

CoRR, 2024

A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning.

Abdelhakim Benechehab, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Balázs Kégl

CoRR, 2024

Position: A Call for Embodied AI.

Giuseppe Paolo, Jonas Gonzalez-Billandon, Balázs Kégl

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention.

Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Editorial to the "Evolutionary Reinforcement Learning" Special Issue.

Adam Gaier, Giuseppe Paolo, Antoine Cully

ACM Trans. Evol. Learn. Optim., September, 2023

Multi-timestep models for Model-based Reinforcement Learning.

Abdelhakim Benechehab, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl

CoRR, 2023

2022

Guided Safe Shooting: model based reinforcement learning with safety constraints.

Giuseppe Paolo, Jonas Gonzalez-Billandon, Albert Thomas, Balázs Kégl

CoRR, 2022

Learning in Sparse Rewards settings through Quality-Diversity algorithms.

Giuseppe Paolo

CoRR, 2022

2021

Learning in Sparse Rewards settings through Quality-Diversity algorithms. (Apprentissage par renforcement dans le cas de récompenses rares avec exploration par algorithmes de Qualité-Diversité et construction autonome d'espace d'état).

Giuseppe Paolo

PhD thesis, 2021

Sparse reward exploration via novelty search and emitters.

Giuseppe Paolo, Alexandre Coninx, Stéphane Doncieux, Alban Laflaquière

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Unsupervised Learning and Exploration of Reachable Outcome Space.

Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx, Stéphane Doncieux

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Novelty search makes evolvability inevitable.

Stéphane Doncieux, Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx

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

2018

A Data-driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environments.

Mark Pfeiffer, Giuseppe Paolo, Hannes Sommer, Juan I. Nieto, Roland Siegwart, Cesar Cadena

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning.

Giuseppe Paolo, Lei Tai, Ming Liu

CoRR, 2017

Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation.

Lei Tai, Giuseppe Paolo, Ming Liu

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017