| Deep reinforcement learning that matters P Henderson*, R Islam*, P Bachman, J Pineau, D Precup, D Meger Proceedings of 32nd AAAI Conference on Artificial Intelligence (AAAI-18), 2017 | 717 | 2017 |
| Deep Bayesian Active Learning with Image Data Y Gal, R Islam, Z Ghahramani Proceedings of the 34th International Conference on Machine Learning (ICML-17), 2017 | 448 | 2017 |
| An introduction to deep reinforcement learning V François-Lavet, P Henderson, R Islam, MG Bellemare, J Pineau arXiv preprint arXiv:1811.12560, 2018 | 255 | 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, 2017 | 123 | 2017 |
| Bayesian Hypernetworks D Krueger, CW Huang, R Islam, R Turner, A Lacoste, A Courville arXiv preprint arXiv:1710.04759, 2017 | 72 | 2017 |
| InfoBot : Transfer and Exploration via the Information Bottleneck A Goyal, R Islam, DJ Strouse, Z Ahmed, H Larochelle, M Botvinick, ... International Conference on Learning Representations (ICLR) 2019, 2018 | 48 | 2018 |
| Bayesian Policy Gradients via Alpha Divergence Dropout Inference P Henderson, T Doan, R Islam, D Meger Bayesian Deep Learning Workshop, NIPS 2017, 2017 | 11 | 2017 |
| VFunc: a Deep Generative Model for Functions P Bachman, R Islam, A Sordoni, Z Ahmed Prediction and Generative Modeling in Reinforcement Learning workshop, ICML 2018, 2018 | 6 | 2018 |
| Re-evaluate: Reproducibility in evaluating reinforcement learning algorithms K Khetarpal, Z Ahmed, A Cianflone, R Islam, J Pineau | 4 | 2018 |
| Active Learning for High Dimensional Inputs using Bayesian Convolutional Neural Networks R Islam, Y Gal, Z Ghahramani University of Cambridge, Masters Thesis, 2016 | 4 | 2016 |
| Marginalized State Distribution Entropy Regularization in Policy Optimization R Islam, Z Ahmed, D Precup arXiv preprint arXiv:1912.05128, 2019 | 2 | 2019 |
| Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods R Islam, R Seraj, PL Bacon, D Precup arXiv preprint arXiv:1912.05104, 2019 | 2 | 2019 |
| Prioritizing starting states for reinforcement learning A Tavakoli, V Levdik, R Islam, P Kormushev arXiv preprint arXiv:1811.11298, 2018 | 2 | 2018 |
| Off-Policy Policy Gradient Algorithms by Constraining the State Distribution Shift R Islam, KK Teru, D Sharma, J Pineau https://arxiv.org/abs/1911.06970, 2019 | 1 | 2019 |
| Discrete off-policy policy gradient using continuous relaxations A Cianflone, Z Ahmed, R Islam, AJ Bose, WL Hamilton unpublished, 2019 | 1 | 2019 |
| Variational state encoding as intrinsic motivation in reinforcement learning M Klissarov, R Islam, K Khetarpal, D Precup Task-Agnostic Reinforcement Learning Workshop at Proceedings of the …, 2019 | 1 | 2019 |
| InfoBot: Structured Exploration in ReinforcementLearning Using Information Bottleneck A Goyal, R Islam, D Strouse, Z Ahmed, M Botvinick, H Larochelle, ... | 1 | 2019 |
| Alpha-Divergences in Variational Dropout B Mazoure, R Islam arXiv preprint:1711.04345v1, 2017 | 1 | 2017 |
| Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning R Islam, R Seraj, SY Arnob, D Precup arXiv preprint arXiv:1912.05109, 2019 | | 2019 |
| Transfer Learning by Modeling a Distribution over Policies D Shrivastava, EG Dhekane, R Islam arXiv preprint arXiv:1906.03574, 2019 | | 2019 |
Doina PrecupDeepMind and McGill UniversityVerified email at cs.mcgill.ca
