| Understanding the impact of entropy on policy optimization Z Ahmed, N Le Roux, M Norouzi, D Schuurmans International Conference on Machine Learning (ICML) 2019, 151-160, 2019 | 58 | 2019 |
| InfoBot: Transfer and Exploration via the Information Bottleneck A Goyal, R Islam, D Strouse, Z Ahmed, M Botvinick, H Larochelle, ... International Conference on Learning Representations (ICLR) 2019, 2019 | 58 | 2019 |
| Intratumor Heterogeneity and Circulating Tumor Cell Clusters Z Ahmed, S Gravel Molecular Biology and Evolution, 2017 | 10 | 2017 |
| What can I do here? A Theory of Affordances in Reinforcement Learning K Khetarpal, Z Ahmed, G Comanici, D Abel, D Precup International Conference on Machine Learning (ICML) 2020, 5479--5488, 2020 | 8 | 2020 |
| Vfunc: a deep generative model for functions P Bachman, R Islam, A Sordoni, Z Ahmed Workshop on Prediction and Generative Modeling in Reinforcement Learning at …, 2018 | 6 | 2018 |
| RE-EVALUATE: Reproducibility in Evaluating Reinforcement Learning Algorithms K Khetarpal, Z Ahmed, A Cianflone, R Islam, J Pineau 2nd Reproducibility in Machine Learning Workshop at ICML 2018, 2018 | 4 | 2018 |
| Marginalized state distribution entropy regularization in policy optimization R Islam, Z Ahmed, D Precup arXiv preprint arXiv:1912.05128, 2019 | 3 | 2019 |
| Learning to prove from synthetic theorems E Aygün, Z Ahmed, A Anand, V Firoiu, X Glorot, L Orseau, D Precup, ... arXiv preprint arXiv:2006.11259, 2020 | 2 | 2020 |
| Learning proposals for sequential importance samplers using reinforced variational inference Z Ahmed, A Karuvally, D Precup, S Gravel Deep RL Meets Structured Prediction Workshop at ICLR, 2019 | 1 | 2019 |
| Unifying Variational Inference and Policy Optimization Z Ahmed McGill University, 2019 | | 2019 |
Riashat IslamPhD Student, McGill University/MilaVerified email at mail.mcgill.ca
