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Giuseppe Paolo
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2020 – today
- 2024
- [c7]Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko:
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. ICML 2024 - [c6]Giuseppe Paolo, Jonas Gonzalez-Billandon, Balázs Kégl:
Position: A Call for Embodied AI. ICML 2024 - [i13]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 abs/2402.03146 (2024) - [i12]Giuseppe Paolo, Jonas Gonzalez-Billandon, Balázs Kégl:
A call for embodied AI. CoRR abs/2402.03824 (2024) - [i11]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 abs/2402.10198 (2024) - 2023
- [j1]Adam Gaier, Giuseppe Paolo, Antoine Cully:
Editorial to the "Evolutionary Reinforcement Learning" Special Issue. ACM Trans. Evol. Learn. Optim. 3(3): 9:1-9:2 (2023) - [i10]Abdelhakim Benechehab, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl:
Multi-timestep models for Model-based Reinforcement Learning. CoRR abs/2310.05672 (2023) - 2022
- [i9]Giuseppe Paolo:
Learning in Sparse Rewards settings through Quality-Diversity algorithms. CoRR abs/2203.01027 (2022) - [i8]Giuseppe Paolo, Jonas Gonzalez-Billandon, Albert Thomas, Balázs Kégl:
Guided Safe Shooting: model based reinforcement learning with safety constraints. CoRR abs/2206.09743 (2022) - 2021
- [b1]Giuseppe Paolo:
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). Sorbonne University, Paris, France, 2021 - [c5]Giuseppe Paolo
, Alexandre Coninx, Stéphane Doncieux, Alban Laflaquière:
Sparse reward exploration via novelty search and emitters. GECCO 2021: 154-162 - [i7]Giuseppe Paolo
, Alexandre Coninx, Stéphane Doncieux, Alban Laflaquière:
Sparse Reward Exploration via Novelty Search and Emitters. CoRR abs/2102.03140 (2021) - [i6]Giuseppe Paolo, Alexandre Coninx, Alban Laflaquière, Stéphane Doncieux:
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space. CoRR abs/2111.01919 (2021) - 2020
- [c4]Stéphane Doncieux, Giuseppe Paolo
, Alban Laflaquière, Alexandre Coninx:
Novelty search makes evolvability inevitable. GECCO 2020: 85-93 - [c3]Giuseppe Paolo
, Alban Laflaquière, Alexandre Coninx, Stéphane Doncieux:
Unsupervised Learning and Exploration of Reachable Outcome Space. ICRA 2020: 2379-2385 - [i5]Stéphane Doncieux, Giuseppe Paolo
, Alban Laflaquière, Alexandre Coninx:
Novelty Search makes Evolvability Inevitable. CoRR abs/2005.06224 (2020)
2010 – 2019
- 2019
- [i4]Giuseppe Paolo
, Alban Laflaquière, Alexandre Coninx, Stéphane Doncieux:
Unsupervised Learning and Exploration of Reachable Outcome Space. CoRR abs/1909.05508 (2019) - 2018
- [c2]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: 1-8 - 2017
- [c1]Lei Tai
, Giuseppe Paolo
, Ming Liu:
Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation. IROS 2017: 31-36 - [i3]Lei Tai, Giuseppe Paolo
, Ming Liu:
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation. CoRR abs/1703.00420 (2017) - [i2]Giuseppe Paolo, Lei Tai, Ming Liu:
Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning. CoRR abs/1709.08430 (2017) - [i1]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 abs/1709.08528 (2017)
Coauthor Index
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last updated on 2024-09-04 01:21 CEST by the dblp team
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