Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation. - Lei Tai; Giuseppe Paolo; Ming Liu 001 (IROS, 2017)

Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning. - Giuseppe Paolo; Lei Tai; Ming Liu 001 (CoRR, 2017)

A Data-driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environments. - Mark Pfeiffer; Giuseppe Paolo; Hannes Sommer; Juan I. Nieto 001; Roland Siegwart; Cesar Cadena 001 (ICRA, 2018)

Novelty search makes evolvability inevitable. - Stéphane Doncieux; Giuseppe Paolo; Alban Laflaquière; Alexandre Coninx (GECCO, 2020)

Unsupervised Learning and Exploration of Reachable Outcome Space. - Giuseppe Paolo; Alban Laflaquière; Alexandre Coninx; Stéphane Doncieux (ICRA, 2020)

Sparse reward exploration via novelty search and emitters. - Giuseppe Paolo; Alexandre Coninx; Stéphane Doncieux; Alban Laflaquière (GECCO, 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 (2021)

Learning in Sparse Rewards settings through Quality-Diversity algorithms. - Giuseppe Paolo (CoRR, 2022)

Guided Safe Shooting: model based reinforcement learning with safety constraints. - Giuseppe Paolo; Jonas Gonzalez-Billandon; Albert Thomas 001; Balázs Kégl (CoRR, 2022)

Multi-timestep models for Model-based Reinforcement Learning. - Abdelhakim Benechehab; Giuseppe Paolo; Albert Thomas 001; Maurizio Filippone; Balázs Kégl (CoRR, 2023)

Editorial to the "Evolutionary Reinforcement Learning" Special Issue. - Adam Gaier; Giuseppe Paolo; Antoine Cully (ACM Trans. Evol. Learn. Optim., 2023)

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 (ICML, 2024)

Position: A Call for Embodied AI. - Giuseppe Paolo; Jonas Gonzalez-Billandon; Balázs Kégl (ICML, 2024)

A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning. - Abdelhakim Benechehab; Albert Thomas 001; Giuseppe Paolo; Maurizio Filippone; Balázs Kégl (CoRR, 2024)

A call for embodied AI. - Giuseppe Paolo; Jonas Gonzalez-Billandon; Balázs Kégl (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)

Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level. - Antoine Grosnit; Alexandre Maraval; James Doran; Giuseppe Paolo; Albert Thomas 001; Refinath Shahul Hameed Nabeezath Beevi; Jonas Gonzalez; Khyati Khandelwal; Ignacio Iacobacci; Abdelhakim Benechehab; Hamza Cherkaoui; Youssef Attia El Hili; et al. (CoRR, 2024)

Discovering and Exploiting Sparse Rewards in a Learned Behavior Space. - Giuseppe Paolo; Miranda Coninx; Alban Laflaquière; Stéphane Doncieux (Evol. Comput., 2024)

Zero-shot Model-based Reinforcement Learning using Large Language Models. - Abdelhakim Benechehab; Youssef Attia El Hili; Ambroise Odonnat; Oussama Zekri; Albert Thomas 001; Giuseppe Paolo; Maurizio Filippone; Ievgen Redko; Balázs Kégl (ICLR, 2025)

AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting. - Abdelhakim Benechehab; Vasilii Feofanov; Giuseppe Paolo; Albert Thomas 001; Maurizio Filippone; Balázs Kégl (CoRR, 2025)

TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning. - Giuseppe Paolo; Abdelhakim Benechehab; Hamza Cherkaoui; Albert Thomas 001; Balázs Kégl (CoRR, 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, 2025)