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Giuseppe Paolo
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Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation
L Tai, G Paolo, M Liu
2017 IEEE/RSJ international conference on intelligent robots and systems …, 2017
8972017
A data-driven model for interaction-aware pedestrian motion prediction in object cluttered environments
M Pfeiffer, G Paolo, H Sommer, J Nieto, R Siegwart, C Cadena
2018 IEEE International Conference on Robotics and Automation (ICRA), 5921-5928, 2018
1342018
Unsupervised Learning and Exploration of Reachable Outcome Space
G Paolo, A Laflaquière, A Coninx, S Doncieux
2020 IEEE International Conference on Robotics and Automation, ICRA 2020, 2019
312019
Novelty search makes evolvability inevitable
S Doncieux, G Paolo, A Laflaquière, A Coninx
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 85-93, 2020
272020
Sparse reward exploration via novelty search and emitters
G Paolo, A Coninx, S Doncieux, A Laflaquière
Proceedings of the 2021 Genetic and Evolutionary Computation Conference, 2021
222021
Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning
G Paolo, L Tai, M Liu
arXiv preprint arXiv:1709.08430, 2017
102017
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
R Ilbert, A Odonnat, V Feofanov, A Virmaux, G Paolo, T Palpanas, I Redko
Forty-first International Conference on Machine Learning, 0
9*
Position: A Call for Embodied AI
G Paolo, J Gonzalez-Billandon, B Kégl
Forty-first International Conference on Machine Learning, 0
7*
Guided safe shooting: model based reinforcement learning with safety constraints
G Paolo, J Gonzalez-Billandon, A Thomas, B Kégl
arXiv preprint arXiv:2206.09743, 2022
32022
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space
G Paolo, M Coninx, A Laflaquière, S Doncieux
Evolutionary Computation, 1-31, 2024
22024
Learning in Sparse Rewards settings through Quality-Diversity algorithms
G Paolo
arXiv preprint arXiv:2203.01027, 2022
22022
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
A Grosnit, A Maraval, J Doran, G Paolo, A Thomas, RSHN Beevi, ...
arXiv preprint arXiv:2411.03562, 2024
2024
Zero-shot Model-based Reinforcement Learning using Large Language Models
A Benechehab, YAE Hili, A Odonnat, O Zekri, A Thomas, G Paolo, ...
arXiv preprint arXiv:2410.11711, 2024
2024
A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning
A Benechehab, A Thomas, G Paolo, M Filippone, B Kégl
arXiv preprint arXiv:2402.03146, 2024
2024
Multi-timestep models for Model-based Reinforcement Learning
A Benechehab, G Paolo, A Thomas, M Filippone, B Kégl
arXiv preprint arXiv:2310.05672, 2023
2023
Editorial to the “Evolutionary Reinforcement Learning” Special Issue
A Gaier, G Paolo, A Cully
ACM Transactions on Evolutionary Learning 3 (3), 1-2, 2023
2023
A Study of the Weighted Multi-step Loss Impact on the Predictive Error and the Return in MBRL
A Benechehab, A Thomas, G Paolo, M Filippone, B Kégl
I Can't Believe It's Not Better Workshop: Failure Modes of Sequential …, 0
Fair Model-Based Reinforcement Learning Comparisons with Explicit and Consistent Update Frequency
A Thomas, A Benechehab, G Paolo, B Kégl
The Third Blogpost Track at ICLR 2024, 0
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Articles 1–18