| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2146 | 2023 |
| Gemma: Open models based on gemini research and technology G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ... arXiv preprint arXiv:2403.08295, 2024 | 711 | 2024 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 671* | 2024 |
| 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 | 267 | 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 | 178 | 2019 |
| 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 | 78 | 2020 |
| Androidenv: A reinforcement learning platform for android D Toyama, P Hamel, A Gergely, G Comanici, A Glaese, Z Ahmed, ... arXiv preprint arXiv:2105.13231, 2021 | 64 | 2021 |
| 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 | 23 | 2018 |
| Intratumor Heterogeneity and Circulating Tumor Cell Clusters Z Ahmed, S Gravel Molecular Biology and Evolution, 2017 | 23 | 2017 |
| 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 | 21 | 2020 |
| Training a first-order theorem prover from synthetic data V Firoiu, E Aygun, A Anand, Z Ahmed, X Glorot, L Orseau, L Zhang, ... arXiv preprint arXiv:2103.03798, 2021 | 16 | 2021 |
| Marginalized state distribution entropy regularization in policy optimization R Islam, Z Ahmed, D Precup arXiv preprint arXiv:1912.05128, 2019 | 16 | 2019 |
| Temporally abstract partial models K Khetarpal, Z Ahmed, G Comanici, D Precup Advances in Neural Information Processing Systems 34, 1979-1991, 2021 | 14 | 2021 |
| 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 | 8 | 2018 |
| Generalized policy updates for policy optimization S Kumar, R Dadashi, Z Ahmed, D Schuurmans, MG Bellemare NeurIPS 2019 Optimization Foundations for Reinforcement Learning Workshop, 2019 | 2 | 2019 |
| Discrete off-policy policy gradient using continuous relaxations A Cianflone, Z Ahmed, R Islam, AJ Bose, WL Hamilton Unpublished. https://joeybose. github. io/assets/Gradient_estimator. pdf, 2019 | 2 | 2019 |
| Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning G Comanici, A Glaese, A Gergely, D Toyama, Z Ahmed, T Jackson, ... arXiv preprint arXiv:2204.10374, 2022 | 1 | 2022 |
| 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 |
| Controlling computing devices using hierarchical agents GT Comanici, AMC Glaese, A Gergely, Z Ahmed, T Jackson, D Precup US Patent App. 18/105,180, 2024 | | 2024 |
| Unifying Variational Inference and Policy Optimization Z Ahmed McGill University, 2019 | | 2019 |
Doina PrecupDeepMind and McGill UniversityVerified email at cs.mcgill.ca
