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Manu Orsini
Manu Orsini
Unknown affiliation
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Cited by
Year
Acme: A research framework for distributed reinforcement learning
MW Hoffman, B Shahriari, J Aslanides, G Barth-Maron, N Momchev, ...
arXiv preprint arXiv:2006.00979, 2020
2272020
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
1872020
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
1442020
What matters for adversarial imitation learning?
M Orsini, A Raichuk, L Hussenot, D Vincent, R Dadashi, S Girgin, M Geist, ...
Advances in Neural Information Processing Systems 34, 14656-14668, 2021
642021
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 3, 2020
292020
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
162021
What matters in on-policy reinforcement learning? a large-scale empirical study (2020)
M Andrychowicz, A Raichuk, P Stanczyk, M Orsini, S Girgin, R Marinier, ...
arXiv preprint arXiv:2006.05990, 2006
22006
On the importance of data collection for training general goal-reaching policies
A Jacq, M Orsini, G Dulac-Arnold, O Pietquin, M Geist, O Bachem
arXiv preprint arXiv:2211.03521, 2022
12022
C3PO: Learning to Achieve Arbitrary Goals via Massively Entropic Pretraining
AD Jacq, M Orsini, G Dulac-Arnold, O Pietquin, M Geist, O Bachem
12022
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Articles 1–9