Ziyu Wang
Ziyu Wang
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Cited by
Cited by
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
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
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
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
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
Alphastar: Mastering the real-time strategy game starcraft ii
O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ...
DeepMind blog 2, 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
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
Bayesian optimization in high dimensions via random embeddings
Z Wang, M Zoghi, F Hutter, D Matheson, N De Freitas
Twenty-Third international joint conference on artificial intelligence, 2013
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
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
Learning an embedding space for transferable robot skills
K Hausman, JT Springenberg, Z Wang, N Heess, M Riedmiller
International Conference on Learning Representations, 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
Robust imitation of diverse behaviors
Z Wang, J Merel, S Reed, G Wayne, N de Freitas, N Heess
arXiv preprint arXiv:1707.02747, 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
Adaptive hamiltonian and riemann manifold monte carlo
Z Wang, S Mohamed, N Freitas
International conference on machine learning, 1462-1470, 2013
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
Adaptive MCMC with Bayesian optimization
N Mahendran, Z Wang, F Hamze, N De Freitas
Artificial Intelligence and Statistics, 751-760, 2012
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
Bayesian multi-scale optimistic optimization
Z Wang, B Shakibi, L Jin, N Freitas
Artificial Intelligence and Statistics, 1005-1014, 2014
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