221 citations · 289 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 3 cited
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond
Hao-Hsuan Chang, Lingjia Liu, Yang Yi
Deep reinforcement learning (DRL) has been shown to be successful in many application domains. Combining recurrent neural networks (RNNs) and DRL further enables DRL to be applicab…
eess.SP2019★ 65 cited
Learning for Detection: MIMO-OFDM Symbol Detection through Downlink Pilots
Zhou Zhou, Lingjia Liu, Hao-Hsuan Chang
Reservoir computing (RC) is a special recurrent neural network which consists of a fixed high dimensional feature mapping and trained readout weights. In this paper, we introduce a…
cs.LG2018★ 221 cited
Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach
Hao-Hsuan Chang, Hao Song, Yang Yi +3
Dynamic spectrum access (DSA) is regarded as an effective and efficient technology to share radio spectrum among different networks. As a secondary user (SU), a DSA device will fac…