| 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 | 1998 | 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 | 1767 | 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 | 799 | 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 | 536 | 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 | 495 | 2016 |
| Alphastar: Mastering the real-time strategy game starcraft ii O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ... DeepMind blog 2, 2019 | 303 | 2019 |
| 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 | 281 | 2015 |
| Bayesian Optimization in High Dimensions via Random Embeddings. Z Wang, M Zoghi, F Hutter, D Matheson, N De Freitas IJCAI, 1778-1784, 2013 | 255 | 2013 |
| 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 | 237 | 2016 |
| 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 | 168 | 2018 |
| Playing hard exploration games by watching youtube Y Aytar, T Pfaff, D Budden, TL Paine, Z Wang, N de Freitas arXiv preprint arXiv:1805.11592, 2018 | 151 | 2018 |
| 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 | 135 | 2017 |
| Learning an embedding space for transferable robot skills K Hausman, JT Springenberg, Z Wang, N Heess, M Riedmiller International Conference on Learning Representations, 2018 | 129 | 2018 |
| Robust imitation of diverse behaviors Z Wang, J Merel, S Reed, G Wayne, N de Freitas, N Heess arXiv preprint arXiv:1707.02747, 2017 | 122 | 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 | 122 | 2017 |
| Adaptive hamiltonian and riemann manifold monte carlo Z Wang, S Mohamed, N Freitas International conference on machine learning, 1462-1470, 2013 | 114* | 2013 |
| Adaptive MCMC with Bayesian optimization N Mahendran, Z Wang, F Hamze, N De Freitas Artificial Intelligence and Statistics, 751-760, 2012 | 77 | 2012 |
| Bayesian multi-scale optimistic optimization Z Wang, B Shakibi, L Jin, N Freitas Artificial Intelligence and Statistics, 1005-1014, 2014 | 74 | 2014 |
| Bright room temperature single photon source at telecom range in cubic silicon carbide J Wang, Y Zhou, Z Wang, A Rasmita, J Yang, X Li, HJ von Bardeleben, ... Nature communications 9 (1), 1-6, 2018 | 65 | 2018 |
| Room temperature solid-state quantum emitters in the telecom range Y Zhou, Z Wang, A Rasmita, S Kim, A Berhane, Z Bodrog, G Adamo, ... Science advances 4 (3), eaar3580, 2018 | 57 | 2018 |
Nando de FreitasCIFAR & DeepMindVerified email at google.com
