| Deepmind control suite Y Tassa, Y Doron, A Muldal, T Erez, Y Li, DL Casas, D Budden, ... arXiv preprint arXiv:1801.00690, 2018 | 1198* | 2018 |
| Emergence of Locomotion Behaviours in Rich Environments N Heess, D TB, S Sriram, J Lemmon, J Merel, G Wayne, Y Tassa, T Erez, ... arXiv preprint arXiv:1707.02286, 2017 | 1196 | 2017 |
| Simultaneous denoising, deconvolution, and demixing of calcium imaging data EA Pnevmatikakis, D Soudry, Y Gao, TA Machado, J Merel, D Pfau, ... Neuron 89 (2), 285-299, 2016 | 1128 | 2016 |
| Graph networks as learnable physics engines for inference and control A Sanchez-Gonzalez, N Heess, JT Springenberg, J Merel, M Riedmiller, ... International Conference on Machine Learning (ICML 2018), 2018 | 766 | 2018 |
| dm_control: Software and tasks for continuous control S Tunyasuvunakool, A Muldal, Y Doron, S Liu, S Bohez, J Merel, T Erez, ... Software Impacts 6, 100022, 2020 | 416 | 2020 |
| Reinforcement and imitation learning for diverse visuomotor skills Y Zhu, Z Wang, J Merel, A Rusu, T Erez, S Cabi, S Tunyasuvunakool, ... Proceedings of Robotics: Science and Systems (RSS 2018), 2018 | 382 | 2018 |
| Critic regularized regression Z Wang, A Novikov, K Zolna, JS Merel, JT Springenberg, SE Reed, ... Advances in Neural Information Processing Systems 33, 7768-7778, 2020 | 350 | 2020 |
| Learning human behaviors from motion capture by adversarial imitation J Merel, Y Tassa, D TB, S Srinivasan, J Lemmon, Z Wang, G Wayne, ... arXiv preprint arXiv:1707.02201, 2017 | 259 | 2017 |
| Robust imitation of diverse behaviors Z Wang, JS Merel, SE Reed, N de Freitas, G Wayne, N Heess Advances in Neural Information Processing Systems 30, 2017 | 256 | 2017 |
| Hierarchical motor control in mammals and machines J Merel, M Botvinick, G Wayne Nature communications 10 (1), 1-12, 2019 | 231 | 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 | 222* | 2020 |
| Emergent coordination through competition S Liu, G Lever, J Merel, S Tunyasuvunakool, N Heess, T Graepel International Conference on Learning Representations (ICLR 2019), 2019 | 177 | 2019 |
| Neural probabilistic motor primitives for humanoid control J Merel, L Hasenclever, A Galashov, A Ahuja, V Pham, G Wayne, YW Teh, ... International Conference on Learning Representations (ICLR 2019), 2018 | 169 | 2018 |
| Population-level representation of a temporal sequence underlying song production in the zebra finch MA Picardo, J Merel, KA Katlowitz, D Vallentin, DE Okobi, SE Benezra, ... Neuron 90 (4), 866-876, 2016 | 155 | 2016 |
| Catch & Carry: reusable neural controllers for vision-guided whole-body tasks J Merel, S Tunyasuvunakool, A Ahuja, Y Tassa, L Hasenclever, V Pham, ... ACM Transactions on Graphics (TOG) 39 (4), 39: 1-39: 12, 2020 | 140 | 2020 |
| From motor control to team play in simulated humanoid football S Liu, G Lever, Z Wang, J Merel, SMA Eslami, D Hennes, WM Czarnecki, ... Science Robotics 7 (69), eabo0235, 2022 | 129 | 2022 |
| Hierarchical visuomotor control of humanoids J Merel, A Ahuja, V Pham, S Tunyasuvunakool, S Liu, D Tirumala, ... International Conference on Learning Representations (ICLR 2019), 2018 | 118 | 2018 |
| Spatiotemporal receptive fields of barrel cortex revealed by reverse correlation of synaptic input A Ramirez, EA Pnevmatikakis, J Merel, L Paninski, KD Miller, RM Bruno Nature neuroscience 17 (6), 866-875, 2014 | 90 | 2014 |
| Bayesian spike inference from calcium imaging data EA Pnevmatikakis, J Merel, A Pakman, L Paninski 2013 Asilomar Conference on Signals, Systems and Computers, 349-353, 2013 | 90 | 2013 |
| Multilayer recurrent network models of primate retinal ganglion cell responses E Batty, J Merel, N Brackbill, A Heitman, A Sher, A Litke, EJ Chichilnisky, ... International Conference on Learning Representations (ICLR 2017), 2016 | 89 | 2016 |
Nicolas HeessDeepMindVerified email at google.com
