| Taking the human out of the loop: A review of Bayesian optimization B Shahriari, K Swersky, Z Wang, RP Adams, N De Freitas Proceedings of the IEEE 104 (1), 148-175, 2015 | 3562 | 2015 |
| Dueling network architectures for deep reinforcement learning Z Wang, T Schaul, M Hessel, H Hasselt, M Lanctot, N Freitas International conference on machine learning, 1995-2003, 2016 | 3331 | 2016 |
| 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 | 2641 | 2019 |
| 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 | 865 | 2017 |
| Sample efficient actor-critic with experience replay Z Wang, V Bapst, N Heess, V Mnih, R Munos, K Kavukcuoglu, ... arXiv preprint arXiv:1611.01224, 2016 | 797 | 2016 |
| Alphastar: Mastering the real-time strategy game starcraft ii O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ... DeepMind blog 2, 20, 2019 | 455 | 2019 |
| Bayesian optimization in a billion dimensions via random embeddings Z Wang, F Hutter, M Zoghi, D Matheson, N De Feitas Journal of Artificial Intelligence Research 55, 361-387, 2016 | 368 | 2016 |
| Bayesian Optimization in High Dimensions via Random Embeddings. Z Wang, M Zoghi, F Hutter, D Matheson, N De Freitas IJCAI 13, 1778-1784, 2013 | 328 | 2013 |
| Deep fried convnets Z Yang, M Moczulski, M Denil, N De Freitas, A Smola, L Song, Z Wang Proceedings of the IEEE international conference on computer vision, 1476-1483, 2015 | 319 | 2015 |
| Reinforcement and imitation learning for diverse visuomotor skills Y Zhu, Z Wang, J Merel, A Rusu, T Erez, S Cabi, S Tunyasuvunakool, ... arXiv preprint arXiv:1802.09564, 2018 | 273 | 2018 |
| Learning an embedding space for transferable robot skills K Hausman, JT Springenberg, Z Wang, N Heess, M Riedmiller International Conference on Learning Representations, 2018 | 261 | 2018 |
| Playing hard exploration games by watching youtube Y Aytar, T Pfaff, D Budden, T Paine, Z Wang, N De Freitas Advances in neural information processing systems 31, 2018 | 233 | 2018 |
| 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 | 204 | 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 | 201 | 2017 |
| 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 | 186 | 2017 |
| Autonomous navigation of stratospheric balloons using reinforcement learning MG Bellemare, S Candido, PS Castro, J Gong, MC Machado, S Moitra, ... Nature 588 (7836), 77-82, 2020 | 168 | 2020 |
| 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 | 149 | 2020 |
| 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 | 144 | 2020 |
| Adaptive hamiltonian and riemann manifold monte carlo Z Wang, S Mohamed, N Freitas International conference on machine learning, 1462-1470, 2013 | 143 | 2013 |
| Bayesian optimization in alphago Y Chen, A Huang, Z Wang, I Antonoglou, J Schrittwieser, D Silver, ... arXiv preprint arXiv:1812.06855, 2018 | 106 | 2018 |
Nando de FreitasCIFAR & DeepMindZweryfikowany adres z google.com
