Zobrazeno 1 - 10
of 2 718
pro vyhledávání: '"ZAMAN, MUHAMMAD"'
Autor:
Aslam, Muhammad Azeem, Jun, Wang, Ahmed, Nisar, Zaman, Muhammad Imran, Yanan, Li, Hongfei, Hu, Shiyu, Wang, Liu, Xin
In multi-label emotion classification, particularly for low-resource languages like Arabic, the challenges of class imbalance and label correlation hinder model performance, especially in accurately predicting minority emotions. To address these issu
Externí odkaz:
http://arxiv.org/abs/2410.03979
Coordinating communication and control is a key component in the stability and performance of networked multi-agent systems. While single user networked control systems have gained a lot of attention within this domain, in this work, we address the m
Externí odkaz:
http://arxiv.org/abs/2407.06528
In this paper, we study the problem of robust cooperative multi-agent reinforcement learning (RL) where a large number of cooperative agents with distributed information aim to learn policies in the presence of \emph{stochastic} and \emph{non-stochas
Externí odkaz:
http://arxiv.org/abs/2406.13992
We consider the problem of task offloading in multi-access edge computing (MEC) systems constituting $N$ devices assisted by an edge server (ES), where the devices can split task execution between a local processor and the ES. Since the local task ex
Externí odkaz:
http://arxiv.org/abs/2404.02898
In this paper, we investigate the impact of introducing relative entropy regularization on the Nash Equilibria (NE) of General-Sum $N$-agent games, revealing the fact that the NE of such games conform to linear Gaussian policies. Moreover, it delinea
Externí odkaz:
http://arxiv.org/abs/2404.00045
We address in this paper Reinforcement Learning (RL) among agents that are grouped into teams such that there is cooperation within each team but general-sum (non-zero sum) competition across different teams. To develop an RL method that provably ach
Externí odkaz:
http://arxiv.org/abs/2403.11345