1 citations · 1 across the 4 of their papers we have counts for
4 papers
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms
Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai
Reinforcement Learning (RL) serves as a versatile framework for sequential decision-making, finding applications across diverse domains such as robotics, autonomous driving, recomm…
Near-perfect Coverage Manifold Estimation in Cellular Networks via conditional GAN
Washim Uddin Mondal, Veni Goyal, Satish V. Ukkusuri +4
This paper presents a conditional generative adversarial network (cGAN) that translates base station location (BSL) information of any Region-of-Interest (RoI) to location-dependen…
Supporting Post-disaster Recovery with Agent-based Modeling in Multilayer Socio-physical Networks
Jiawei Xue, Sangung Park, Washim Uddin Mondal +3
The examination of post-disaster recovery (PDR) in a socio-physical system enables us to elucidate the complex relationships between humans and infrastructures. Although existing s…
Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization
Lu Ling, Washim Uddin Mondal, Satish V +1
This study explores the vaccine prioritization strategy to reduce the overall burden of the pandemic when the supply is limited. Existing methods conduct macro-level or simplified…