| Deep Reinforcement Learning that Matters P Henderson*, R Islam*, P Bachman, J Pineau, D Precup, D Meger AAAI Conference on Artificial Intelligence (AAAI), 2018 | 1750 | 2018 |
| 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 | 1127 | 2018 |
| On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 843 | 2021 |
| A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version IV Serban, R Lowe, P Henderson, L Charlin, J Pineau Dialogue & Discourse 9 (1), 1-49, 2018 | 368* | 2018 |
| Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control R Islam*, P Henderson*, M Gomrokchi, D Precup Reproducibility in Machine Learning Workshop (ICML), 2017 | 252 | 2017 |
| Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ... arXiv preprint arXiv:2004.07213, 2020 | 222 | 2020 |
| 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 | 211 | 2020 |
| Ethical Challenges in Data-Driven Dialogue Systems P Henderson, K Sinha, N Angelard-Gontier, NR Ke, G Fried, R Lowe, ... AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2018 | 117 | 2018 |
| OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning P Henderson, WD Chang, PL Bacon, D Meger, J Pineau, D Precup AAAI Conference on Artificial Intelligence (AAAI), 2018 | 74 | 2018 |
| With Little Power Comes Great Responsibility D Card, P Henderson, U Khandelwal, R Jia, K Mahowald, D Jurafsky arXiv preprint arXiv:2010.06595, 2020 | 73 | 2020 |
| BLOOM: A 176B-Parameter Open-Access Multilingual Language Model TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... arXiv preprint arXiv:2211.05100, 2022 | 63 | 2022 |
| Underwater Multi-Robot Convoying using Visual Tracking by Detection F Shkurti, WD Chang, P Henderson, MJ Islam, JCG Higuera, J Li, ... IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017 | 60 | 2017 |
| When does pretraining help? assessing self-supervised learning for law and the CaseHOLD dataset of 53,000+ legal holdings L Zheng*, N Guha*, BR Anderson, P Henderson, DE Ho Proceedings of the Eighteenth International Conference on Artificial …, 2021 | 59 | 2021 |
| Benchmark Environments for Multitask Learning in Continuous Domains P Henderson, WD Chang, F Shkurti, J Hansen, D Meger, G Dudek Lifelong Learning: A Reinforcement Learning Approach Workshop (ICML), 2017 | 48 | 2017 |
| Reward Estimation for Variance Reduction in Deep Reinforcement Learning J Romoff*, P Henderson*, A Piche, V Francois-Lavet, J Pineau 2nd Conference on Robot Learning (CoRL), 2018 | 39 | 2018 |
| Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods P Henderson, J Romoff, J Pineau The 14th European Workshop on Reinforcement Learning (EWRL 2018), 2018 | 29* | 2018 |
| Holistic Evaluation of Language Models P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ... arXiv preprint arXiv:2211.09110, 2022 | 28 | 2022 |
| Learning Robust Dialog Policies in Noisy Environments M Fazel-Zarandi, SW Li, J Cao, J Casale, P Henderson, D Whitney, ... Conversational AI Workshop (NeurIPS), 2017 | 25 | 2017 |
| Separating value functions across time-scales J Romoff*, P Henderson*, A Touati, E Brunskill, J Pineau, Y Ollivier International Conference on Machine Learning, 5468-5477, 2019 | 18 | 2019 |
| Bayesian Policy Gradients via Alpha Divergence Dropout Inference P Henderson*, T Doan*, R Islam, D Meger Bayesian Deep Learning Workshop (NeurIPS), 2017 | 16 | 2017 |
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; MilaVerified email at cs.mcgill.ca
