| 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 | 2971 | 2018 |
| An introduction to deep reinforcement learning FL Vincent, H Peter, I Riashat, GB Marc, P Joelle Foundations and trends® in machine learning 11 (3-4), 219-354, 2018 | 2342 | 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 | 2232 | 2016 |
| 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 Proceedings of the 2016 conference on empirical methods in natural language …, 2016 | 1716 | 2016 |
| Point-based value iteration: An anytime algorithm for POMDPs J Pineau, G Gordon, S Thrun Ijcai 3, 1025-1032, 2003 | 1579 | 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 | 1368 | 2017 |
| The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems R Lowe, N Pow, IV Serban, J Pineau Proceedings of the 16th annual meeting of the special interest group on …, 2015 | 1229 | 2015 |
| 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 Journal of Machine Learning Research 21 (248), 1-43, 2020 | 904 | 2020 |
| 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 | 904 | 2003 |
| A survey of point-based POMDP solvers G Shani, J Pineau, R Kaplow Autonomous Agents and Multi-Agent Systems 27 (1), 1-51, 2013 | 829 | 2013 |
| 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 | 800 | 2016 |
| Online planning algorithms for POMDPs S Ross, J Pineau, S Paquet, B Chaib-Draa Journal of Artificial Intelligence Research 32, 663-704, 2008 | 785 | 2008 |
| 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 | 675 | 2015 |
| Improving reproducibility in machine learning research (a report from the neurips 2019 reproducibility program) J Pineau, P Vincent-Lamarre, K Sinha, V Larivière, A Beygelzimer, ... Journal of machine learning research 22 (164), 1-20, 2021 | 642 | 2021 |
| Tarmac: Targeted multi-agent communication A Das, T Gervet, J Romoff, D Batra, D Parikh, M Rabbat, J Pineau International Conference on machine learning, 1538-1546, 2019 | 626 | 2019 |
| Improving sample efficiency in model-free reinforcement learning from images D Yarats, A Zhang, I Kostrikov, B Amos, J Pineau, R Fergus Proceedings of the aaai conference on artificial intelligence 35 (12), 10674 …, 2021 | 585 | 2021 |
| Anytime point-based approximations for large POMDPs J Pineau, G Gordon, S Thrun Journal of Artificial Intelligence Research 27, 335-380, 2006 | 558 | 2006 |
| Transparency and reproducibility in artificial intelligence B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, ... Nature 586 (7829), E14-E16, 2020 | 542 | 2020 |
| 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, 2002 | 518 | 2002 |
| 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 | 493 | 2015 |
Doina PrecupDeepMind and McGill UniversityVerified email at cs.mcgill.ca
