| Deep Reinforcement Learning that Matters P Henderson, R Islam, P Bachman, J Pineau, D Precup, D Meger AAAI Conference on Artificial Intelligence (AAAI), 2018 | 678 | 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 | 228 | 2018 |
| 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 | 219* | 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 | 119 | 2017 |
| 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 | 31 | 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 | 31 | 2018 |
| 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 | 24 | 2017 |
| 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 | 21 | 2017 |
| Reward Estimation for Variance Reduction in Deep Reinforcement Learning J Romoff, A Piche, P Henderson, V Francois-Lavet, J Pineau International Conference on Learning Representations Workshop (ICLR), 2018 | 17 | 2018 |
| 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 | 16 | 2020 |
| 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 | 16 | 2017 |
| 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 | 13* | 2018 |
| Bayesian Policy Gradients via Alpha Divergence Dropout Inference P Henderson, T Doan, R Islam, D Meger Bayesian Deep Learning Workshop (NeurIPS), 2017 | 10 | 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 arXiv preprint arXiv:2002.05651, 2020 | 8 | 2020 |
| Orıon: Asynchronous Distributed Hyperparameter Optimization X Bouthillier, C Tsirigotis, F Corneau-Tremblay, P Delaunay, ... | 6* | 2019 |
| Separating value functions across time-scales J Romoff, P Henderson, A Touati, E Brunskill, J Pineau, Y Ollivier arXiv preprint arXiv:1902.01883, 2019 | 4 | 2019 |
| Distilling Information from a Flood: A Possibility for the Use of Meta-Analysis and Systematic Review in Machine Learning Research P Henderson, E Brunskill Critiquing and Correcting Trends in Machine Learning Workshop (NeurIPS), 2018 | 2 | 2018 |
| Implanted intracortical electrodes as chronic neural interfaces to the central nervous system P Henderson PeerJ PrePrints 3 (2167-9843), e1536, 2015 | 2 | 2015 |
| An Analysis of Parallelized Motion Masking Using Dual-Mode Single Gaussian Models P Henderson, M Vertescher arXiv preprint arXiv:1702.05156, 2017 | 1 | 2017 |
| Chaotic Memory Randomization for Securing Embedded Systems P Henderson, M Maheswaran arXiv preprint arXiv:1611.00742, 2016 | 1 | 2016 |
Joelle PineauSchool of Computer Science, McGill UniversityVerified email at cs.mcgill.ca
