Prati
Olivier Pietquin
Olivier Pietquin
Earth Species Project | ex Google DeepMind (On leave - Professor at University of Lille)
Potvrđena adresa e-pošte na univ-lille.fr - Početna stranica
Naslov
Citirano
Citirano
Godina
Deep q-learning from demonstrations
T Hester, M Vecerik, O Pietquin, M Lanctot, T Schaul, B Piot, D Horgan, ...
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
14342018
Noisy Networks for Exploration
SL Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, Jacob Menick, Ian ...
International Conference on Learning Representations (ICLR), 2018
1345*2018
Leveraging demonstrations for deep reinforcement learning on robotics problems with sparse rewards
M Vecerik, T Hester, J Scholz, F Wang, O Pietquin, B Piot, N Heess, ...
arXiv preprint arXiv:1707.08817, 2017
9392017
Audiolm: a language modeling approach to audio generation
Z Borsos, R Marinier, D Vincent, E Kharitonov, O Pietquin, M Sharifi, ...
IEEE/ACM transactions on audio, speech, and language processing 31, 2523-2533, 2023
6992023
Modulating early visual processing by language
H De Vries, F Strub, J Mary, H Larochelle, O Pietquin, AC Courville
Advances in neural information processing systems 30, 2017
6122017
Guesswhat?! visual object discovery through multi-modal dialogue
H De Vries, F Strub, S Chandar, O Pietquin, H Larochelle, A Courville
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
4842017
A theory of regularized markov decision processes
M Geist, B Scherrer, O Pietquin
International conference on machine learning, 2160-2169, 2019
3812019
Listen and translate: A proof of concept for end-to-end speech-to-text translation
A Bérard, O Pietquin, C Servan, L Besacier
arXiv preprint arXiv:1612.01744, 2016
3522016
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
287*2020
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
2822020
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
2752020
End-to-end automatic speech translation of audiobooks
A Bérard, L Besacier, AC Kocabiyikoglu, O Pietquin
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
2442018
Speak, read and prompt: High-fidelity text-to-speech with minimal supervision
E Kharitonov, D Vincent, Z Borsos, R Marinier, S Girgin, O Pietquin, ...
Transactions of the Association for Computational Linguistics 11, 1703-1718, 2023
2082023
A probabilistic framework for dialog simulation and optimal strategy learning
O Pietquin, T Dutoit
IEEE Transactions on Audio, Speech, and Language Processing 14 (2), 589-599, 2006
2052006
Learning from demonstrations for real world reinforcement learning
T Hester, M Vecerik, O Pietquin, M Lanctot, T Schaul, B Piot, D Horgan, ...
arXiv preprint arXiv:1704.03732, 2017, 2018
2002018
Back to basics: Revisiting reinforce style optimization for learning from human feedback in llms
A Ahmadian, C Cremer, M Gallé, M Fadaee, J Kreutzer, O Pietquin, ...
arXiv preprint arXiv:2402.14740, 2024
1992024
Primal wasserstein imitation learning
R Dadashi, L Hussenot, M Geist, O Pietquin
arXiv preprint arXiv:2006.04678, 2020
1582020
Machine learning for spoken dialogue systems
O Lemon, O Pietquin
European Conference on Speech Communication and Technologies (Interspeech'07 …, 2007
1532007
Observe and look further: Achieving consistent performance on atari
T Pohlen, B Piot, T Hester, MG Azar, D Horgan, D Budden, G Barth-Maron, ...
arXiv preprint arXiv:1805.11593, 2018
1502018
Fictitious play for mean field games: Continuous time analysis and applications
S Perrin, J Pérolat, M Laurière, M Geist, R Elie, O Pietquin
Advances in neural information processing systems 33, 13199-13213, 2020
1482020
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