| 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 | 871* | 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 | 457 | 2017 |
| Noisy networks for exploration M Fortunato, MG Azar, B Piot, J Menick, I Osband, A Graves, V Mnih, ... arXiv preprint arXiv:1706.10295, 2017 | 436 | 2017 |
| 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 | 374 | 2017 |
| 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 | 338 | 2017 |
| 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 | 196 | 2006 |
| 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 | 194 | 2016 |
| 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 | 150 | 2018 |
| A theory of regularized markov decision processes M Geist, B Scherrer, O Pietquin International Conference on Machine Learning, 2160-2169, 2019 | 144 | 2019 |
| Machine learning for spoken dialogue systems O Lemon, O Pietquin European Conference on Speech Communication and Technologies (Interspeech'07 …, 2007 | 141 | 2007 |
| A framework for unsupervised learning of dialogue strategies O Pietquin Presses univ. de Louvain, 2005 | 141 | 2005 |
| A survey on metrics for the evaluation of user simulations O Pietquin, H Hastie The knowledge engineering review 28 (1), 59-73, 2013 | 125 | 2013 |
| 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 | 123* | 2020 |
| Kalman temporal differences M Geist, O Pietquin Journal of artificial intelligence research 39, 483-532, 2010 | 113 | 2010 |
| Sample-efficient batch reinforcement learning for dialogue management optimization O Pietquin, M Geist, S Chandramohan, H Frezza-Buet ACM Transactions on Speech and Language Processing (TSLP) 7 (3), 1-21, 2011 | 110 | 2011 |
| Algorithmic Survey of Parametric Value Function Approximation M Geist, O Pietquin Transactions on Neural Networks and Learning Systems 24 (6), 845-867, 2013 | 106* | 2013 |
| User simulation in dialogue systems using inverse reinforcement learning S Chandramohan, M Geist, F Lefevre, O Pietquin Twelfth annual conference of the international speech communication association, 2011 | 103 | 2011 |
| Inverse reinforcement learning through structured classification E Klein, M Geist, B Piot, O Pietquin Advances in neural information processing systems 25, 2012 | 94 | 2012 |
| Data-driven methods for adaptive spoken dialogue systems: Computational learning for conversational interfaces O Lemon, O Pietquin Springer Science & Business Media, 2012 | 92 | 2012 |
| Approximate dynamic programming for two-player zero-sum markov games J Perolat, B Scherrer, B Piot, O Pietquin International Conference on Machine Learning, 1321-1329, 2015 | 76 | 2015 |
Matthieu GeistGoogle Research, Brain Team (on leave of Professor, Université de Lorraine)Verified email at univ-lorraine.fr
