| Episodic curiosity through reachability N Savinov, A Raichuk, R Marinier, D Vincent, M Pollefeys, T Lillicrap, ... arXiv preprint arXiv:1810.02274, 2018 | 185 | 2018 |
| Towards accurate generative models of video: A new metric & challenges T Unterthiner, S van Steenkiste, K Kurach, R Marinier, M Michalski, ... arXiv preprint arXiv:1812.01717, 2018 | 126 | 2018 |
| Seed rl: Scalable and efficient deep-rl with accelerated central inference L Espeholt, R Marinier, P Stanczyk, K Wang, M Michalski arXiv preprint arXiv:1910.06591, 2019 | 79 | 2019 |
| What matters in on-policy reinforcement learning? a large-scale empirical study M Andrychowicz, A Raichuk, P Stańczyk, M Orsini, S Girgin, R Marinier, ... arXiv preprint arXiv:2006.05990, 2020 | 77 | 2020 |
| What matters for on-policy deep actor-critic methods? a large-scale study M Andrychowicz, A Raichuk, P Stańczyk, M Orsini, S Girgin, R Marinier, ... International conference on learning representations, 2020 | 48 | 2020 |
| Implicit factoring with shared most significant and middle bits JC Faugère, R Marinier, G Renault International Workshop on Public Key Cryptography, 70-87, 2010 | 32 | 2010 |
| Self-attentional credit assignment for transfer in reinforcement learning J Ferret, R Marinier, M Geist, O Pietquin arXiv preprint arXiv:1907.08027, 2019 | 18 | 2019 |
| FVD: A new metric for video generation T Unterthiner, S van Steenkiste, K Kurach, R Marinier, M Michalski, ... | 13 | 2019 |
| What matters in on-policy reinforcement learning M Andrychowicz, A Raichuk, P Stanczyk, M Orsini, S Girgin, R Marinier, ... A large-scale empirical study. CoRR, abs/2006.05990, 2020 | 10 | 2020 |
| Hyperparameter selection for imitation learning L Hussenot, M Andrychowicz, D Vincent, R Dadashi, A Raichuk, S Ramos, ... International Conference on Machine Learning, 4511-4522, 2021 | 6 | 2021 |
| Credit assignment as a proxy for transfer in reinforcement learning J Ferret, R Marinier, M Geist, O Pietquin arXiv preprint arXiv:1907.08027, 2019 | 5 | 2019 |
| Methods, systems, and media for presenting content organized by category A Pak, F Raimundo, S Girgin, R Marinier, V Simonet US Patent 11,036,743, 2021 | 4 | 2021 |
| Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO P Muller, M Rowland, R Elie, G Piliouras, J Perolat, M Lauriere, R Marinier, ... arXiv preprint arXiv:2111.08350, 2021 | 2 | 2021 |
| RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning S Ramos, S Girgin, L Hussenot, D Vincent, H Yakubovich, D Toyama, ... arXiv preprint arXiv:2111.02767, 2021 | 2 | 2021 |
| Cryptanalysis of the Improved Cellular Message Encryption Algorithm T Chardin, R Marinier Cryptology ePrint Archive, 2008 | 2 | 2008 |
| Solving N-player dynamic routing games with congestion: a mean field approach T Cabannes, M Lauriere, J Perolat, R Marinier, S Girgin, S Perrin, ... arXiv preprint arXiv:2110.11943, 2021 | 1 | 2021 |
| An Adaptive Chosen-plaintext Attack of the Improved Cellular Message Encryption Algorithm. T Chardin, R Marinier Int. J. Netw. Secur. 9 (2), 173-179, 2009 | 1 | 2009 |
| Solving N player dynamic routing games with congestion: a mean field approach A Bayen, E Goubault, J Perolat, ML Lauriere, O Pietquin, R Marinier, ... | | 2022 |
| Self-Attentive Credit Assignment for Transfer in Reinforcement Learning J Ferret, R Marinier, M Geist, O Pietquin | | 2020 |
Sylvain GellyGoogle Brain ZurichVerified email at m4x.org
