| Understanding Failures of Deterministic Actor-Critic with Continuous Action Spaces and Sparse Rewards G Matheron, N Perrin, O Sigaud International Conference on Artificial Neural Networks, 308-320, 2020 | 134* | 2020 |
| Fast approximate clearance evaluation for rovers with articulated suspension systems K Otsu, G Matheron, S Ghosh, O Toupet, M Ono Journal of Field Robotics 37 (5), 768-785, 2020 | 54 | 2020 |
| PBCS: Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion Planning G Matheron, N Perrin, O Sigaud International Conference on Artificial Neural Networks, 295-307, 2020 | 19 | 2020 |
| The problem with DDPG: Understanding failures in deterministic environments with sparse rewards. arXiv 2019 G Matheron, N Perrin, O Sigaud arXiv preprint arXiv:1911.11679, 0 | 6 | |
| Domain Knowledge Aids in Signal Disaggregation; the Example of the Cumulative Water Heater A Belikov, G Matheron, J Sassi Energy and Buildings, 112200, 2022 | 2 | 2022 |
| Validation à grande échelle des diagnostics de performance énergétique via la consommation mesurée par les compteurs connectés G Matheron | 1 | 2023 |
| Occupancy Detection Based on Electricity Consumption T Brilland, G Matheron, L Leduc, Y Nakada arXiv preprint arXiv:2312.08535, 2023 | | 2023 |
| Large-scale validation of residential energy performance audits through consumption data collected by smart meters G Matheron https://cdn.hellowatt.fr/media/model_files/DPE_Etude_Compteurs_communicants.pdf, 2022 | | 2022 |
| Optimization of Google Ads bidding taking into account our influence on the market G Matheron https://hellowatt.medium.com/optimization-of-google-ads-bidding-taking-into …, 2021 | | 2021 |
| Integrating Motion Planning into Reinforcement Learning to solve hard exploration problems G Matheron Institut des Systèmes Intelligents et de Robotique, 2020 | | 2020 |
| Designing the software of the Mars2020 rover. G Matheron https://guillaumematheron.fr/ul/report.pdf, 2016 | | 2016 |
| Robust Shape Reconstruction through Optimal Transportation G Matheron https://guillaumematheron.fr/files/kr_explicite.pdf, 2015 | | 2015 |
| Surface reconstruction from point clouds using optimal transportation G Matheron | | 2015 |
| Exploring Kademlia's DHT G Matheron, Y Ramusat https://guillaumematheron.fr/files/kadelmia.pdf, 2015 | | 2015 |
| Markov chains and queuing theory G Matheron https://guillaumematheron.fr/files/tipe.pdf, 2014 | | 2014 |
| Chaînes de Markov et files d’attente G Matheron | | |
Olivier SigaudProfessor in Computer Science, Sorbonne Université在 upmc.fr 的电子邮件经过验证
