| Grandmaster level in StarCraft II using multi-agent reinforcement learning O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ... Nature 575 (7782), 350-354, 2019 | 3095 | 2019 |
| DeepMind Control Suite Y Tassa, Y Doron, A Muldal, T Erez, Y Li, DL Casas, D Budden, ... arXiv preprint arXiv:1801.00690, 2018 | 707* | 2018 |
| Distributed Prioritized Experience Replay D Horgan, J Quan, D Budden, G Barth-Maron, M Hessel, H van Hasselt, ... International Conference on Learning Representations (ICLR), 2018 | 706 | 2018 |
| AlphaStar: Mastering the Real-Time Strategy Game StarCraft II O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, W Czarnecki, ... https://deepmind.com/blog/alphastar-mastering-real-time-strategy-game …, 2019 | 489 | 2019 |
| Distributed Distributional Deterministic Policy Gradients G Barth-Maron, MW Hoffman, D Budden, W Dabney, D Horgan, A Muldal, ... International Conference on Learning Representations (ICLR), 2018 | 482 | 2018 |
| Scaling Language Models: Methods, Analysis & Insights from Training Gopher JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ... arXiv preprint arXiv:2112.11446, 2021 | 391* | 2021 |
| Playing hard exploration games by watching YouTube Y Aytar, T Pfaff, D Budden, TL Paine, Z Wang, N de Freitas Advances in Neural Information Processing Systems (NeurIPS), 2018 | 258 | 2018 |
| The DeepMind JAX Ecosystem I Babuschkin, K Baumli, A Bell, S Bhupatiraju, J Bruce, P Buchlovsky, ... http://github.com/deepmind, 2020 | 235* | 2020 |
| Generative compression S Santurkar, D Budden, N Shavit arXiv preprint arXiv:1703.01467, 2017 | 208 | 2017 |
| Sample Efficient Adaptive Text-to-Speech Y Chen, Y Assael, B Shillingford, D Budden, S Reed, H Zen, Q Wang, ... International Conference on Learning Representations (ICLR), 2019 | 144* | 2019 |
| Observe and Look Further: Achieving Consistent Performance on Atari T Pohlen, B Piot, T Hester, MG Azar, D Horgan, D Budden, G Barth-Maron, ... arXiv preprint arXiv:1805.11593, 2018 | 123 | 2018 |
| Scaling data-driven robotics with reward sketching and batch reinforcement learning S Cabi, S Gómez Colmenarejo, A Novikov, K Konyushkova, S Reed, ... Robotics: Science and Systems (RSS), 2020 | 117* | 2020 |
| A Global Social Media Survey of Attitudes to Human Genome Editing T McCaughey, PG Sanfilippo, GEC Gooden, DM Budden, L Fan, ... Cell Stem Cell 18 (5), 569-572, 2016 | 84 | 2016 |
| A Generalized Framework for Population Based Training A Li, O Spyra, S Perel, V Dalibard, M Jaderberg, C Gu, D Budden, ... International Conference on Knowledge Discovery & Data Mining (KDD), 2019 | 61 | 2019 |
| Predicting expression: the complementary power of histone modification and transcription factor binding data DM Budden, DG Hurley, J Cursons, JF Markham, MJ Davis, EJ Crampin Epigenetics & chromatin 7 (1), 1-12, 2014 | 44 | 2014 |
| Deep Tensor Convolution on Multicores D Budden, A Matveev, S Santurkar, SR Chaudhuri, N Shavit International Conference on Machine Learning (ICML), 2016 | 43 | 2016 |
| A Multi-Pass Approach to Large-Scale Connectomics Y Meirovitch, A Matveev, H Saribekyan, D Budden, D Rolnick, G Odor, ... arXiv preprint arXiv:1612.02120, 2016 | 40 | 2016 |
| Task-Relevant Adversarial Imitation Learning K Zolna, S Reed, A Novikov, SG Colmenarej, D Budden, S Cabi, M Denil, ... Conference on Robotic Learning (CoRL), 2020 | 39 | 2020 |
| Virtual Reference Environments: a simple way to make research reproducible DG Hurley, DM Budden, EJ Crampin Briefings in Bioinformatics 16 (5), 901-903, 2014 | 39 | 2014 |
| Predictive modelling of gene expression from transcriptional regulatory elements DM Budden, DG Hurley, EJ Crampin Briefings in Bioinformatics 16 (4), 616-628, 2014 | 38 | 2014 |
Gabriel Barth-MaronDeepMindVerified email at google.com
