1 code implementation • 16 Aug 2023 • Ning Guo, Xudong Han, Xiaobo Liu, Shuqiao Zhong, Zhiyuan Zhou, Jian Lin, Jiansheng Dai, Fang Wan, Chaoyang Song
Robots play a critical role as the physical agent of human operators in exploring the ocean.
1 code implementation • 7 Dec 2022 • Zhiyuan Zhou, Shreyas Sundara Raman, Henry Sowerby, Michael L. Littman
Reinforcement-learning agents seek to maximize a reward signal through environmental interactions.
no code implementations • 30 May 2022 • Henry Sowerby, Zhiyuan Zhou, Michael L. Littman
To solve this optimization problem, we propose a linear-programming based algorithm that efficiently finds a reward function that maximizes action gap and minimizes subjective discount.
no code implementations • 11 May 2022 • Zhiyuan Zhou, Cameron Allen, Kavosh Asadi, George Konidaris
We study the action generalization ability of deep Q-learning in discrete action spaces.
no code implementations • 19 Apr 2021 • Zhiyuan Zhou, Kai Xuan, Zhifu Tao, Ligang Zhou
Due to the fact that basic uncertain information provides a simple form for decision information with certainty degree, it has been developed to reflect the quality of observed or subjective assessments.
no code implementations • 21 Jan 2021 • Yongjian Zhou, Liyang Liao, Xiaofeng Zhou, Hua Bai, Mingkun Zhao, Caihua Wan, Siqi Yin, Lin Huang, Tingwen Guo, Lei Han, Ruyi Chen, Zhiyuan Zhou, Xiufeng Han, Feng Pan, Cheng Song
The interlayer coupling mediated by fermions in ferromagnets brings about parallel and anti-parallel magnetization orientations of two magnetic layers, resulting in the giant magnetoresistance, which forms the foundation in spintronics and accelerates the development of information technology.
Materials Science