| 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 | 2524 | 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 | 2025 | 2017 |
| 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 | 1892 | 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 | 336 | 2017 |
| Bayesian Hypernetworks D Krueger, CW Huang, R Islam, R Turner, A Lacoste, A Courville arXiv preprint arXiv:1710.04759, 2017 | 187 | 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 | 177 | 2018 |
| Guaranteed discovery of controllable latent states with multi-step inverse models A Lamb, R Islam, Y Efroni, A Didolkar, D Misra, D Foster, L Molu, R Chari, ... arXiv preprint arXiv:2207.08229, 2022 | 24 | 2022 |
| Re-evaluate: Reproducibility in evaluating reinforcement learning algorithms K Khetarpal, Z Ahmed, A Cianflone, R Islam, J Pineau | 23 | 2018 |
| Bayesian Policy Gradients via Alpha Divergence Dropout Inference P Henderson, T Doan, R Islam, D Meger Bayesian Deep Learning Workshop, NIPS 2017, 2017 | 19 | 2017 |
| Marginalized state distribution entropy regularization in policy optimization R Islam, Z Ahmed, D Precup arXiv preprint arXiv:1912.05128, 2019 | 16 | 2019 |
| Agent-controller representations: Principled offline rl with rich exogenous information R Islam, M Tomar, A Lamb, Y Efroni, H Zang, A Didolkar, D Misra, X Li, ... ICML 2023; arXiv:2211.00164, 2023 | 15 | 2023 |
| Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning R Islam, H Zang, A Goyal, A Lamb, K Kawaguchi, X Li, R Laroche, ... NeurIPS 2022, 2022 | 15 | 2022 |
| Guaranteed discovery of control-endogenous latent states with multi-step inverse models A Lamb, R Islam, Y Efroni, A Didolkar, D Misra, D Foster, L Molu, R Chari, ... arXiv preprint arXiv:2207.08229, 2022 | 14 | 2022 |
| Active Learning for High Dimensional Inputs using Bayesian Convolutional Neural Networks R Islam, Y Gal, Z Ghahramani University of Cambridge, Masters Thesis, 2016 | 14 | 2016 |
| Exploring restart distributions A Tavakoli, V Levdik, R Islam, CM Smith, P Kormushev arXiv preprint arXiv:1811.11298, 2018 | 13 | 2018 |
| 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 | 12 | 2019 |
| Behavior prior representation learning for offline reinforcement learning H Zang, X Li, J Yu, C Liu, R Islam, RTD Combes, R Laroche arXiv preprint arXiv:2211.00863, 2022 | 10 | 2022 |
| 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 | 10 | 2019 |
| Ignorance is bliss: Robust control via information gating M Tomar, R Islam, M Taylor, S Levine, P Bachman Advances in Neural Information Processing Systems 36, 38624-38641, 2023 | 9 | 2023 |
| 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 | 9 | 2019 |
Doina PrecupDeepMind and McGill University在 cs.mcgill.ca 的电子邮件经过验证
