Zobrazeno 1 - 10
of 165
pro vyhledávání: '"CHEN Shuhang"'
Publikováno v:
Gong-kuang zidonghua, Vol 48, Iss 7, Pp 1-12 (2022)
The goal and task of intelligent fully mechanized working face are to independently complete the reliable coal cutting of the fully mechanized working face, maintain the geometric relationship of the working face and reliable roof support. According
Externí odkaz:
https://doaj.org/article/2bac1f33e59a4950aca51950c519122c
Stochastic approximation is a class of algorithms that update a vector iteratively, incrementally, and stochastically, including, e.g., stochastic gradient descent and temporal difference learning. One fundamental challenge in analyzing a stochastic
Externí odkaz:
http://arxiv.org/abs/2401.07844
Publikováno v:
The Journal of Physical Chemistry C 2024, 128, 1, 556-562
Magnetic anisotropy is essential for stabilizing two-dimensional (2D) magnetism, which has significant applications in spintronics and the advancement of fundamental physics. In this work, we examine the electronic structure and magnetic properties o
Externí odkaz:
http://arxiv.org/abs/2312.15625
Developing machine intelligence abilities in robots and autonomous systems is an expensive and time consuming process. Existing solutions are tailored to specific applications and are harder to generalize. Furthermore, scarcity of training data adds
Externí odkaz:
http://arxiv.org/abs/2310.00887
Autor:
Wei, Yao, Sun, Yanchao, Zheng, Ruijie, Vemprala, Sai, Bonatti, Rogerio, Chen, Shuhang, Madaan, Ratnesh, Ba, Zhongjie, Kapoor, Ashish, Ma, Shuang
We introduce DualMind, a generalist agent designed to tackle various decision-making tasks that addresses challenges posed by current methods, such as overfitting behaviors and dependence on task-specific fine-tuning. DualMind uses a novel "Dual-phas
Externí odkaz:
http://arxiv.org/abs/2307.07909
Robotics has long been a field riddled with complex systems architectures whose modules and connections, whether traditional or learning-based, require significant human expertise and prior knowledge. Inspired by large pre-trained language models, th
Externí odkaz:
http://arxiv.org/abs/2209.11133
The paper concerns the stochastic approximation recursion, \[ \theta_{n+1}= \theta_n + \alpha_{n + 1} f(\theta_n, \Phi_{n+1}) \,,\quad n\ge 0, \] where the {\em estimates} $\theta_n\in\Re^d$ and $ \{ \Phi_n \}$ is a Markov chain on a general state sp
Externí odkaz:
http://arxiv.org/abs/2110.14427
Autor:
Chen, Shuhang, Zhang, Shuai, Wang, Dafei, Zhang, Peng, Sun, Jiuce, Ouyang, Zhengrong, Gan, Zhihua
Publikováno v:
In Cryogenics June 2024 140
Brain-machine interfaces (BMIs) help the disabled restore body functions by translating neural activity into digital commands to control external devices. Neural adaptation, where the brain signals change in response to external stimuli or movements,
Externí odkaz:
http://arxiv.org/abs/2107.12609
Autor:
Chen, Shuhang, Shen, Yunwei, Qiu, Changxu, Tao, Xuan, Wan, Anping, Zhang, Zhiguo, Gan, Zhihua
Publikováno v:
In International Journal of Hydrogen Energy 8 March 2024 58:797-805