متابعة
Giuseppe Paolo
Giuseppe Paolo
Huawei Technologies France
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
9272017
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
1372018
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
322019
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
282020
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
242021
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, 2024‏
22*2024
Position: A Call for Embodied AI‏
G Paolo, J Gonzalez-Billandon, B Kégl‏
Forty-first International Conference on Machine Learning, 2024‏
14*2024
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
112017
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
62024
Discovering and exploiting sparse rewards in a learned behavior space‏
G Paolo, M Coninx, A Laflaquière, S Doncieux‏
Evolutionary Computation 32 (3), 275-305, 2024‏
42024
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
42022
Learning in sparse rewards settings through quality-diversity algorithms‏
G Paolo‏
arXiv preprint arXiv:2203.01027, 2022‏
42022
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
22024
Multi-timestep models for Model-based Reinforcement Learning‏
A Benechehab, G Paolo, A Thomas, M Filippone, B Kégl‏
arXiv preprint arXiv:2310.05672, 2023‏
12023
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning‏
G Paolo, A Benechehab, H Cherkaoui, A Thomas, B Kégl‏
arXiv preprint arXiv:2502.15425, 2025‏
2025
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting‏
A Benechehab, V Feofanov, G Paolo, A Thomas, M Filippone, B Kégl‏
arXiv preprint arXiv:2502.10235, 2025‏
2025
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
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, 2024‏
2024
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
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20