no code implementations • 23 Feb 2024 • Tongyi Liang, Han-Xiong Li
The trade-off between performance and computational efficiency in long-sequence modeling becomes a bottleneck for existing models.
no code implementations • 23 Feb 2024 • Tongyi Liang, Han-Xiong Li
Although deep learning-based methods have shown great success in spatiotemporal predictive learning, the framework of those models is designed mainly by intuition.
no code implementations • 10 Oct 2023 • Peng Wei, Han-Xiong Li
Numerous industrial thermal processes and fluid processes can be described by distributed parameter systems (DPSs), wherein many process parameters and variables vary in space and time.
no code implementations • 8 Jun 2018 • Chunlin Chen, Daoyi Dong, Han-Xiong Li, Jian Chu, Tzyh-Jong Tarn
In this paper, a fidelity-based probabilistic Q-learning (FPQL) approach is presented to naturally solve this problem and applied for learning control of quantum systems.