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RaphaŽl Marinier
RaphaŽl Marinier
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Title
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Cited by
Year
Episodic curiosity through reachability
N Savinov, A Raichuk, R Marinier, D Vincent, M Pollefeys, T Lillicrap, ...
arXiv preprint arXiv:1810.02274, 2018
1852018
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
1262018
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
792019
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
772020
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
482020
Implicit factoring with shared most significant and middle bits
JC FaugŤre, R Marinier, G Renault
International Workshop on Public Key Cryptography, 70-87, 2010
322010
Self-attentional credit assignment for transfer in reinforcement learning
J Ferret, R Marinier, M Geist, O Pietquin
arXiv preprint arXiv:1907.08027, 2019
182019
FVD: A new metric for video generation
T Unterthiner, S van Steenkiste, K Kurach, R Marinier, M Michalski, ...
132019
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
102020
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
62021
Credit assignment as a proxy for transfer in reinforcement learning
J Ferret, R Marinier, M Geist, O Pietquin
arXiv preprint arXiv:1907.08027, 2019
52019
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
42021
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
22021
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
22021
Cryptanalysis of the Improved Cellular Message Encryption Algorithm
T Chardin, R Marinier
Cryptology ePrint Archive, 2008
22008
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
12021
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
12009
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
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Articles 1–19