| Hybrid reward architecture for reinforcement learning H Van Seijen, M Fatemi, J Romoff, R Laroche, T Barnes, J Tsang Advances in Neural Information Processing Systems 30, 2017 | 196 | 2017 |
| Safe policy improvement with baseline bootstrapping R Laroche, P Trichelair, RT Des Combes International Conference on Machine Learning, 3652-3661, 2019 | 124 | 2019 |
| Contextual bandit for active learning: Active thompson sampling D Bouneffouf, R Laroche, T Urvoy, R Féraud, R Allesiardo International Conference on Neural Information Processing, 405-412, 2014 | 71 | 2014 |
| Counting to explore and generalize in text-based games X Yuan, MA Côté, A Sordoni, R Laroche, RT Combes, M Hausknecht, ... arXiv preprint arXiv:1806.11525, 2018 | 41 | 2018 |
| Transfer reinforcement learning with shared dynamics R Laroche, M Barlier Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 39 | 2017 |
| Score-based inverse reinforcement learning L El Asri, B Piot, M Geist, R Laroche, O Pietquin International Conference on Autonomous Agents and Multiagent Systems (AAMAS …, 2016 | 34 | 2016 |
| Transfer Learning for User Adaptation in Spoken Dialogue Systems. A Genevay, R Laroche AAMAS, 975-983, 2016 | 34 | 2016 |
| Human-machine dialogue as a stochastic game M Barlier, J Perolat, R Laroche, O Pietquin 16th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL 2015), 2015 | 32 | 2015 |
| Reward function learning for dialogue management L El Asri, R Laroche, O Pietquin STAIRS 2012, 95-106, 2012 | 28 | 2012 |
| Optimising turn-taking strategies with reinforcement learning H Khouzaimi, R Laroche, F Lefevre Proceedings of the 16th Annual Meeting of the Special Interest Group on …, 2015 | 27 | 2015 |
| Nastia: Negotiating appointment setting interface L El Asri, R Lemonnier, R Laroche, O Pietquin, H Khouzaimi Proceedings of the Ninth International Conference on Language Resources and …, 2014 | 27 | 2014 |
| Learning dynamic belief graphs to generalize on text-based games A Adhikari, X Yuan, MA Côté, M Zelinka, MA Rondeau, R Laroche, ... Advances in Neural Information Processing Systems 33, 3045-3057, 2020 | 26 | 2020 |
| Reward shaping for statistical optimisation of dialogue management LE Asri, R Laroche, O Pietquin International Conference on Statistical Language and Speech Processing, 93-101, 2013 | 26 | 2013 |
| Hybridisation of expertise and reinforcement learning in dialogue systems R Laroche, G Putois, P Bretier, B Bouchon-Meunier Tenth Annual Conference of the International Speech Communication Association, 2009 | 26 | 2009 |
| Learning dynamic knowledge graphs to generalize on text-based games A Adhikari, X Yuan, MA Côté, M Zelinka, MA Rondeau, R Laroche, ... | 24 | 2020 |
| Task completion transfer learning for reward inference L El Asri, R Laroche, O Pietquin Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014 | 22 | 2014 |
| Reinforcement learning algorithm selection R Laroche, R Feraud arXiv preprint arXiv:1701.08810, 2017 | 20 | 2017 |
| Ordinal regression for interaction quality prediction L El Asri, H Khouzaimi, R Laroche, O Pietquin 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 20 | 2014 |
| Turn-taking phenomena in incremental dialogue systems H Khouzaimi, R Laroche, F Lefevre Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 19 | 2015 |
| On value function representation of long horizon problems L Lehnert, R Laroche, H van Seijen Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 18 | 2018 |
Olivier PietquinGoogle Brain (On leave of Professor at University of Lille - CRIStAL - SequeL team)E-mail confirmado em univ-lille.fr
