| 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 | 6111 | 2019 |
| 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 | 1725* | 2021 |
| DeepMind Control Suite Y Tassa, Y Doron, A Muldal, T Erez, Y Li, DL Casas, D Budden, ... arXiv preprint arXiv:1801.00690, 2018 | 1525* | 2018 |
| Distributed prioritized experience replay H Dan, Q John, B David, BM Gabriel, H Matteo, VH Hado, S David Proc. 5th Int. Conf. Learning Representations (ICLR, Vancouver, BC, Canada …, 2018 | 1089* | 2018 |
| 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 | 789 | 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 | 625 | 2019 |
| The DeepMind JAX Ecosystem I Babuschkin, K Baumli, A Bell, S Bhupatiraju, J Bruce, P Buchlovsky, ... http://github.com/deepmind, 2020 | 567* | 2020 |
| 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 | 351 | 2018 |
| Generative compression S Santurkar, D Budden, N Shavit arXiv preprint arXiv:1703.01467, 2017 | 273 | 2017 |
| Unified Scaling Laws for Routed Language Models A Clark, D Casas, A Guy, A Mensch, M Paganini, J Hoffmann, B Damoc, ... International Conference on Machine Learning (ICML), 2022 | 271* | 2022 |
| Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models S De, SL Smith, A Fernando, A Botev, G Cristian-Muraru, A Gu, R Haroun, ... arXiv preprint arXiv:2402.19427, 2024 | 218* | 2024 |
| 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 | 212* | 2020 |
| 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 | 212* | 2019 |
| The CLRS Algorithmic Reasoning Benchmark P Veličković, AP Badia, D Budden, R Pascanu, A Banino, M Dashevskiy, ... International Conference on Machine Learning (ICML), 2022 | 146 | 2022 |
| 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 | 132 | 2018 |
| 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 | 125 | 2016 |
| Optax: composable gradient transformation and optimisation M Hessel, D Budden, F Viola, M Rosca, E Sezener, T Hennigan JAX, http://github. com/deepmind/optax, 2020 | 102* | 2020 |
| 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 | 87 | 2019 |
| 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 | 76 | 2020 |
| Gated Linear Networks J Veness, T Lattimore, A Bhoopchand, D Budden, C Mattern, ... Association for the Advancement of Artificial Intelligence (AAAI), 2021 | 63 | 2021 |
Gabriel Barth-MaronGoogle DeepMindVerified email at google.com
