Giuseppe Paolo

33 papers A* 6A 3Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TerraLingua: Emergence and Analysis of Open-endedness in LLM Ecologies. CoRR Giuseppe Paolo, Jamieson Warner, Hormoz Shahrzad, Babak Hodjat, Risto Miikkulainen, Elliot Meyerson
2025	A*	`conf`	AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting. ICML Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
2025	J	`jnl`	AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting. CoRR Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
2025	J	`jnl`	From Data to Rewards: a Bilevel Optimization Perspective on Maximum Likelihood Estimation. CoRR Abdelhakim Benechehab, Gabriel Singer, Corentin Léger, Youssef Attia El Hili, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
2025	J	`jnl`	Human in the Loop Adaptive Optimization for Improved Time Series Forecasting. CoRR Malik Tiomoko, Hamza Cherkaoui, Giuseppe Paolo, Yili Zhang, Yu Meng, Keli Zhang, Hafiz Tiomoko Ali
2025	J	`jnl`	Solving a Million-Step LLM Task with Zero Errors. CoRR Elliot Meyerson, Giuseppe Paolo, Roberto Dailey, Hormoz Shahrzad, Olivier Francon, Conor F. Hayes, Xin Qiu, Babak Hodjat, Risto Miikkulainen
2025	J	`jnl`	TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning. CoRR Giuseppe Paolo, Abdelhakim Benechehab, Hamza Cherkaoui, Albert Thomas, Balázs Kégl
2025	A*	`conf`	Zero-shot Model-based Reinforcement Learning using Large Language Models. ICLR Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl
2024	J	`jnl`	A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning. CoRR Abdelhakim Benechehab, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Balázs Kégl
2024	J	`jnl`	A call for embodied AI. CoRR Giuseppe Paolo, Jonas Gonzalez-Billandon, Balázs Kégl
2024	J	`jnl`	Discovering and Exploiting Sparse Rewards in a Learned Behavior Space. Evol. Comput. Giuseppe Paolo, Miranda Coninx, Alban Laflaquière, Stéphane Doncieux
2024	J	`jnl`	Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level. CoRR 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
2024	A*	`conf`	Position: A Call for Embodied AI. ICML Giuseppe Paolo, Jonas Gonzalez-Billandon, Balázs Kégl
2024	A*	`conf`	SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. ICML Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko
2024	J	`jnl`	Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. CoRR Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko
2024	J	`jnl`	Zero-shot Model-based Reinforcement Learning using Large Language Models. CoRR Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl
2023	J	`jnl`	Editorial to the "Evolutionary Reinforcement Learning" Special Issue. ACM Trans. Evol. Learn. Optim. Adam Gaier, Giuseppe Paolo, Antoine Cully
2023	J	`jnl`	Multi-timestep models for Model-based Reinforcement Learning. CoRR Abdelhakim Benechehab, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
2022	J	`jnl`	Guided Safe Shooting: model based reinforcement learning with safety constraints. CoRR Giuseppe Paolo, Jonas Gonzalez-Billandon, Albert Thomas, Balázs Kégl
2022	J	`jnl`	Learning in Sparse Rewards settings through Quality-Diversity algorithms. CoRR Giuseppe Paolo
2021	J	`jnl`	Discovering and Exploiting Sparse Rewards in a Learned Behavior Space. CoRR Giuseppe Paolo, Alexandre Coninx, Alban Laflaquière, Stéphane Doncieux
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	J	`jnl`	Sparse Reward Exploration via Novelty Search and Emitters. CoRR Giuseppe Paolo, Alexandre Coninx, Stéphane Doncieux, Alban Laflaquière
2021	A	`conf`	Sparse reward exploration via novelty search and emitters. GECCO Giuseppe Paolo, Alexandre Coninx, Stéphane Doncieux, Alban Laflaquière
2020	J	`jnl`	Novelty Search makes Evolvability Inevitable. CoRR Stéphane Doncieux, Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx
2020	A	`conf`	Novelty search makes evolvability inevitable. GECCO Stéphane Doncieux, Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx
2020	A*	`conf`	Unsupervised Learning and Exploration of Reachable Outcome Space. ICRA Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx, Stéphane Doncieux
2019	J	`jnl`	Unsupervised Learning and Exploration of Reachable Outcome Space. CoRR Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx, Stéphane Doncieux
2018	A*	`conf`	A Data-driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environments. ICRA Mark Pfeiffer, Giuseppe Paolo, Hannes Sommer, Juan I. Nieto, Roland Siegwart, Cesar Cadena
2017	J	`jnl`	A Data-driven Model for Interaction-aware Pedestrian Motion Prediction in Object Cluttered Environments. CoRR Mark Pfeiffer, Giuseppe Paolo, Hannes Sommer, Juan I. Nieto, Roland Siegwart, Cesar Cadena
2017	J	`jnl`	Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning. CoRR Giuseppe Paolo, Lei Tai, Ming Liu
2017	J	`jnl`	Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation. CoRR Lei Tai, Giuseppe Paolo, Ming Liu
2017	A	`conf`	Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation. IROS Lei Tai, Giuseppe Paolo, Ming Liu