2 papers
cs.NI2023
How AI-driven Digital Twins Can Empower Mobile Networks
Tong Li, Fenyu Jiang, Qiaohong Yu +3
The growing complexity of next-generation networks exacerbates the modeling and algorithmic flaws of conventional network optimization methodology. In this paper, we propose a mobi…
cs.LG2020
Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning
Xiyao Wang, Junge Zhang, Wenzhen Huang +1
Model-based reinforcement learning (MBRL) is believed to have higher sample efficiency compared with model-free reinforcement learning (MFRL). However, MBRL is plagued by dynamics…