| Deep gamblers: Learning to abstain with portfolio theory Z Liu, Z Wang, PP Liang, RR Salakhutdinov, LP Morency, M Ueda Advances in Neural Information Processing Systems 32, 2019 | 129 | 2019 |
| Deep reinforcement learning control of quantum cartpoles ZT Wang, Y Ashida, M Ueda Physical Review Letters 125 (10), 100401, 2020 | 58 | 2020 |
| Convergent and efficient deep Q learning algorithm ZT Wang, M Ueda International Conference on Learning Representations, 2022 | 28* | 2022 |
| LaProp: Separating momentum and adaptivity in adam L Ziyin, ZT Wang, M Ueda arXiv preprint arXiv:2002.04839, 2020 | 19* | 2020 |
| Wrapped ambiguity Gaussian mixed model with applications in sparse sampling based multiple parameter estimation H Xiao, N Du, Z Wang, G Xiao Signal Processing 179, 107825, 2021 | 7 | 2021 |
| Control of Continuous Quantum Systems with Many Degrees of Freedom based on Convergent Reinforcement Learning Z Wang arXiv preprint arXiv:2212.10705, 2022 | | 2022 |
| Statistical Robust Chinese Remainder Theorem for Multiple Numbers H Xiao, N Du, ZT Wang, G Xiao arXiv preprint arXiv:1909.00225, 2019 | | 2019 |
Masahito UedaUniversity of Tokyo在 phys.s.u-tokyo.ac.jp 的电子邮件经过验证
Masahito UedaUniversity of Tokyo在 phys.s.u-tokyo.ac.jp 的电子邮件经过验证
yuto ashidaUniversity of Tokyo在 phys.s.u-tokyo.ac.jp 的电子邮件经过验证