| Learning to learn by gradient descent by gradient descent M Andrychowicz, M Denil, S Gomez, MW Hoffman, D Pfau, T Schaul, ... Advances in neural information processing systems 29, 2016 | 1737 | 2016 |
| Hybrid computing using a neural network with dynamic external memory A Graves, G Wayne, M Reynolds, T Harley, I Danihelka, ... Nature 538 (7626), 471-476, 2016 | 1545 | 2016 |
| Policy distillation AA Rusu, SG Colmenarejo, C Gulcehre, G Desjardins, J Kirkpatrick, ... arXiv preprint arXiv:1511.06295, 2015 | 531 | 2015 |
| Learning to learn without gradient descent by gradient descent Y Chen, MW Hoffman, SG Colmenarejo, M Denil, TP Lillicrap, M Botvinick, ... International Conference on Machine Learning, 748-756, 2017 | 243* | 2017 |
| Learned optimizers that scale and generalize O Wichrowska, N Maheswaranathan, MW Hoffman, SG Colmenarejo, ... International Conference on Machine Learning, 3751-3760, 2017 | 214 | 2017 |
| Parallel multiscale autoregressive density estimation S Reed, A Oord, N Kalchbrenner, SG Colmenarejo, Z Wang, Y Chen, ... International conference on machine learning, 2912-2921, 2017 | 194 | 2017 |
| Acme: A research framework for distributed reinforcement learning M Hoffman, B Shahriari, J Aslanides, G Barth-Maron, F Behbahani, ... arXiv preprint arXiv:2006.00979, 2020 | 128 | 2020 |
| A generalist agent S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ... arXiv preprint arXiv:2205.06175, 2022 | 93 | 2022 |
| Scaling data-driven robotics with reward sketching and batch reinforcement learning S Cabi, SG Colmenarejo, A Novikov, K Konyushkova, S Reed, R Jeong, ... arXiv preprint arXiv:1909.12200, 2019 | 89* | 2019 |
| Rl unplugged: A suite of benchmarks for offline reinforcement learning C Gulcehre, Z Wang, A Novikov, T Paine, S Gómez, K Zolna, R Agarwal, ... Advances in Neural Information Processing Systems 33, 7248-7259, 2020 | 85* | 2020 |
| Programmable agents M Denil, SG Colmenarejo, S Cabi, D Saxton, N de Freitas arXiv preprint arXiv:1706.06383, 2017 | 64 | 2017 |
| Learning awareness models B Amos, L Dinh, S Cabi, T Rothörl, SG Colmenarejo, A Muldal, T Erez, ... arXiv preprint arXiv:1804.06318, 2018 | 42 | 2018 |
| The intentional unintentional agent: Learning to solve many continuous control tasks simultaneously S Cabi, SG Colmenarejo, MW Hoffman, M Denil, Z Wang, N Freitas Conference on Robot Learning, 207-216, 2017 | 34 | 2017 |
| Task-relevant adversarial imitation learning K Zolna, S Reed, A Novikov, SG Colmenarejo, D Budden, S Cabi, M Denil, ... Conference on Robot Learning, 247-263, 2021 | 30 | 2021 |
| TF-Replicator: Distributed machine learning for researchers P Buchlovsky, D Budden, D Grewe, C Jones, J Aslanides, F Besse, ... arXiv preprint arXiv:1902.00465, 2019 | 22 | 2019 |
| One-shot high-fidelity imitation: Training large-scale deep nets with rl TL Paine, SG Colmenarejo, Z Wang, S Reed, Y Aytar, T Pfaff, ... arXiv preprint arXiv:1810.05017, 2018 | 19 | 2018 |
| Regularized behavior value estimation C Gulcehre, SG Colmenarejo, Z Wang, J Sygnowski, T Paine, K Zolna, ... arXiv preprint arXiv:2103.09575, 2021 | 15 | 2021 |
| StarCraft II Unplugged: Large Scale Offline Reinforcement Learning M Mathieu, S Ozair, S Srinivasan, C Gulcehre, S Zhang, R Jiang, ... Deep RL Workshop NeurIPS 2021, 2021 | 4 | 2021 |
| RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning Ç Gülçehre, Z Wang, A Novikov, T Paine, SG Colmenarejo, K Zolna, ... NeurIPS, 2020 | 3 | 2020 |
| Visual imitation with a minimal adversary S Reed, Y Aytar, Z Wang, T Paine, A van den Oord, T Pfaff, S Gomez, ... | 2 | 2018 |
Nando de FreitasCIFAR & DeepMindDirección de correo verificada de google.com
