no code implementations • 12 Dec 2023 • Wei Geng, Baidi Xiao, Rongpeng Li, Ning Wei, Dong Wang, Zhifeng Zhao
In this paper, we propose a novel decomposition-based multi-agent distributional RL method by approximating the globally shared noisy reward by a Gaussian mixture model (GMM) and decomposing it into the combination of individual distributional local rewards, with which each agent can be updated locally through distributional RL.
Distributional Reinforcement Learning Multi-agent Reinforcement Learning +2
no code implementations • 27 Oct 2022 • Yunis Xanthos, Wanting Lyu, Songjie Yang, Chadi Assi, Xianbing Zou, Ning Wei
Reconfigurable intelligent surface (RIS) is an attractive technology to improve the transmission rate of millimetre-wave (mmWave) communication systems.
no code implementations • 18 Mar 2022 • Wen-Kai Yu, Ying Yang, Jin-Rui Liu, Ning Wei, Shuo-Fei Wang
Single-pixel imaging (SPI) has attracted widespread attention because it generally uses a non-pixelated photodetector and a digital micromirror device (DMD) to acquire the object image.
no code implementations • 9 Mar 2022 • Wen-Kai Yu, Chong Cao, Ying Yang, Ning Wei, Shuo-Fei Wang, Chen-Xi Zhu
Single-pixel imaging (SPI) is very popular in subsampling applications, but the random measurement matrices it typically uses will lead to measurement blindness as well as difficulties in calculation and storage, and will also limit the further reduction in sampling rate.
no code implementations • 6 Sep 2021 • Ning Wei, Jiahua Liang, Di Xie, ShiLiang Pu
Designing optimal reward functions has been desired but extremely difficult in reinforcement learning (RL).
no code implementations • 18 Jan 2021 • Yue Xiu, Wei Sun, Jiao Wu, Guan Gui, Ning Wei, Zhongpei Zhang
The solution to transmit beamforming at the BS and the phase shifts at the IRS are derived by using the successive convex approximation (SCA)-based algorithm, and a greedy algorithm is proposed to design the IRS switch vector.
no code implementations • 27 Nov 2020 • Yue Xiu, Jun Zhao, Ertugrul Basar, Marco Di Renzo, Wei Sun, Guan Gui, Ning Wei
In this letter, we investigate the uplink of a reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) multi-user system.
no code implementations • 11 Jul 2020 • Yue Xiu, Jun Zhao, Wei Sun, Marco Di Renzo, Guan Gui, Zhongpei Zhang, Ning Wei
Then, we solve the power allocation problem under fixed phase shifts of the RIS and hybrid beamforming.
no code implementations • 27 May 2019 • Zhen Li, Shiyun Xiong, Charles Sievers, Yue Hu, Zheyong Fan, Ning Wei, Hua Bao, Shunda Chen, Davide Donadio, Tapio Ala-Nissila
Conventionally, the thermal conductivity of a finite system is calculated as the ratio between the heat flux and the temperature gradient extracted from the linear part of the temperature profile away from the local thermostats.
Mesoscale and Nanoscale Physics Statistical Mechanics Computational Physics