Giuseppe Paolo

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Efficient Search

Cluttered Environments

Reinforcement Learning

Top Venues

ACM Trans. Evol. Learn. Optim.

Publications

Giuseppe Paolo, Jonas Gonzalez-Billandon, Balázs Kégl
A call for embodied AI. CoRR (2024)
Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko
Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. CoRR (2024)
Abdelhakim Benechehab, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Balázs Kégl
A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning. CoRR (2024)
Abdelhakim Benechehab, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
Multi-timestep models for Model-based Reinforcement Learning. CoRR (2023)
Adam Gaier, Giuseppe Paolo, Antoine Cully
Editorial to the "Evolutionary Reinforcement Learning" Special Issue. ACM Trans. Evol. Learn. Optim. 3 (3) (2023)
Giuseppe Paolo
Learning in Sparse Rewards settings through Quality-Diversity algorithms. CoRR (2022)
Giuseppe Paolo, Jonas Gonzalez-Billandon, Albert Thomas, Balázs Kégl
Guided Safe Shooting: model based reinforcement learning with safety constraints. CoRR (2022)
Giuseppe Paolo, Alexandre Coninx, Stéphane Doncieux, Alban Laflaquière
Sparse reward exploration via novelty search and emitters. GECCO (2021)
Giuseppe Paolo, Alexandre Coninx, Alban Laflaquière, Stéphane Doncieux
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space. CoRR (2021)
Giuseppe Paolo, Alexandre Coninx, Stéphane Doncieux, Alban Laflaquière
Sparse Reward Exploration via Novelty Search and Emitters. CoRR (2021)
Stéphane Doncieux, Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx
Novelty Search makes Evolvability Inevitable. CoRR (2020)
Stéphane Doncieux, Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx
Novelty search makes evolvability inevitable. GECCO (2020)
Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx, Stéphane Doncieux
Unsupervised Learning and Exploration of Reachable Outcome Space. ICRA (2020)
Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx, Stéphane Doncieux
Unsupervised Learning and Exploration of Reachable Outcome Space. CoRR (2019)
Mark Pfeiffer, Giuseppe Paolo, Hannes Sommer, Juan I. Nieto, Roland Siegwart, Cesar Cadena
A Data-driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environments. ICRA (2018)
Giuseppe Paolo, Lei Tai, Ming Liu
Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning. CoRR (2017)
Lei Tai, Giuseppe Paolo, Ming Liu
Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation. IROS (2017)
Mark Pfeiffer, Giuseppe Paolo, Hannes Sommer, Juan I. Nieto, Roland Siegwart, Cesar Cadena
A Data-driven Model for Interaction-aware Pedestrian Motion Prediction in Object Cluttered Environments. CoRR (2017)
Lei Tai, Giuseppe Paolo, Ming Liu
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation. CoRR (2017)