Smoothing Deep Reinforcement Learning for Power Control for Spectrum Sharing in Cognitive Radios

no code implementations • CUHK Course IERG5350 2020 • Wanli Wang

Traditional deep Q-network in the frame work of deep reinforcement learning utilizes a deep neural network for learning a nonlinear function which maps the state or observation to accumulated rewards conditional on current state and agent action also called Q-value.

reinforcement-learning Reinforcement Learning (RL)

Deep Clustering With Intra-class Distance Constraint for Hyperspectral Images

no code implementations • 1 Apr 2019 • Jinguang Sun, Wanli Wang, Xian Wei, Li Fang, Xiaoliang Tang, Yusheng Xu, Hui Yu, Wei Yao

The high dimensionality of hyperspectral images often results in the degradation of clustering performance.

Clustering Deep Clustering