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
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
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
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
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
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
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
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space
G Paolo, M Coninx, A Laflaquière, S Doncieux
Evolutionary Computation, 1-31, 2024
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
arXiv preprint arXiv:2402.10198, 2024
Learning in Sparse Rewards settings through Quality-Diversity algorithms
G Paolo
arXiv preprint arXiv:2203.01027, 2022
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
A call for embodied AI
G Paolo, J Gonzalez-Billandon, B Kégl
arXiv preprint arXiv:2402.03824, 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
Multi-timestep models for Model-based Reinforcement Learning
A Benechehab, G Paolo, A Thomas, M Filippone, B Kégl
arXiv preprint arXiv:2310.05672, 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
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Articles 1–15