| Deep reinforcement learning that matters P Henderson, R Islam, P Bachman, J Pineau, D Precup, D Meger Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 2003 | 2018 |
| Building end-to-end dialogue systems using generative hierarchical neural network models I Serban, A Sordoni, Y Bengio, A Courville, J Pineau Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 1976 | 2016 |
| An introduction to deep reinforcement learning V François-Lavet, P Henderson, R Islam, MG Bellemare, J Pineau Foundations and Trends® in Machine Learning 11 (3-4), 219-354, 2018 | 1427 | 2018 |
| How not to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation CW Liu, R Lowe, IV Serban, M Noseworthy, L Charlin, J Pineau arXiv preprint arXiv:1603.08023, 2016 | 1412 | 2016 |
| Point-based value iteration: An anytime algorithm for POMDPs J Pineau, G Gordon, S Thrun Ijcai 3, 1025-1032, 2003 | 1411 | 2003 |
| A hierarchical latent variable encoder-decoder model for generating dialogues I Serban, A Sordoni, R Lowe, L Charlin, J Pineau, A Courville, Y Bengio Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 1199 | 2017 |
| The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems R Lowe, N Pow, I Serban, J Pineau arXiv preprint arXiv:1506.08909, 2015 | 1082 | 2015 |
| Towards robotic assistants in nursing homes: Challenges and results J Pineau, M Montemerlo, M Pollack, N Roy, S Thrun Robotics and autonomous systems 42 (3-4), 271-281, 2003 | 848 | 2003 |
| A survey of point-based POMDP solvers G Shani, J Pineau, R Kaplow Autonomous Agents and Multi-Agent Systems 27, 1-51, 2013 | 708 | 2013 |
| Online planning algorithms for POMDPs S Ross, J Pineau, S Paquet, B Chaib-Draa Journal of Artificial Intelligence Research 32, 663-704, 2008 | 699 | 2008 |
| An actor-critic algorithm for sequence prediction D Bahdanau, P Brakel, K Xu, A Goyal, R Lowe, J Pineau, A Courville, ... arXiv preprint arXiv:1607.07086, 2016 | 650 | 2016 |
| Anytime point-based approximations for large POMDPs J Pineau, G Gordon, S Thrun Journal of Artificial Intelligence Research 27, 335-380, 2006 | 500 | 2006 |
| Bayesian reinforcement learning: A survey M Ghavamzadeh, S Mannor, J Pineau, A Tamar Foundations and Trends® in Machine Learning 8 (5-6), 359-483, 2015 | 495 | 2015 |
| Pearl: A mobile robotic assistant for the elderly ME Pollack, L Brown, D Colbry, C Orosz, B Peintner, S Ramakrishnan, ... AAAI workshop on automation as eldercare 2002, 85-91, 2002 | 475 | 2002 |
| Experiences with a mobile robotic guide for the elderly M Montemerlo, J Pineau, N Roy, S Thrun, V Verma AAAI/IAAI 2002, 587-592, 2002 | 452 | 2002 |
| Spoken dialogue management using probabilistic reasoning N Roy, J Pineau, S Thrun Proceedings of the 38th annual meeting of the association for computational …, 2000 | 411 | 2000 |
| A survey of available corpora for building data-driven dialogue systems IV Serban, R Lowe, P Henderson, L Charlin, J Pineau arXiv preprint arXiv:1512.05742, 2015 | 401 | 2015 |
| Towards an automatic turing test: Learning to evaluate dialogue responses R Lowe, M Noseworthy, IV Serban, N Angelard-Gontier, Y Bengio, ... arXiv preprint arXiv:1708.07149, 2017 | 393 | 2017 |
| Towards the systematic reporting of the energy and carbon footprints of machine learning P Henderson, J Hu, J Romoff, E Brunskill, D Jurafsky, J Pineau The Journal of Machine Learning Research 21 (1), 10039-10081, 2020 | 349 | 2020 |
| Learning robust features using deep learning for automatic seizure detection P Thodoroff, J Pineau, A Lim Machine learning for healthcare conference, 178-190, 2016 | 342 | 2016 |
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