Washim Uddin Mondal

According to our database, Washim Uddin Mondal authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Cooperating Graph Neural Networks With Deep Reinforcement Learning for Vaccine Prioritization.

Lu Ling, Washim Uddin Mondal, Satish V. Ukkusuri

IEEE J. Biomed. Health Informatics, August, 2024

Near-Perfect Coverage Manifold Estimation in Cellular Networks via Conditional GAN.

Washim Uddin Mondal, Veni Goyal, Satish V. Ukkusuri, Goutam Das, Di Wang, Mohamed-Slim Alouini, Vaneet Aggarwal

IEEE Netw. Lett., June, 2024

Terrain-Based Coverage Manifold Estimation: Machine Learning, Stochastic Geometry, or Simulation?

Ruibo Wang, Washim Uddin Mondal, Mustafa A. Kishk, Vaneet Aggarwal, Mohamed-Slim Alouini

IEEE Open J. Commun. Soc., 2024

Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms.

Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai

Found. Trends Optim., 2024

Last-Iterate Convergence of General Parameterized Policies in Constrained MDPs.

Washim Uddin Mondal, Vaneet Aggarwal

CoRR, 2024

Sample-Efficient Constrained Reinforcement Learning with General Parameterization.

Washim Uddin Mondal, Vaneet Aggarwal

CoRR, 2024

Variance-Reduced Policy Gradient Approaches for Infinite Horizon Average Reward Markov Decision Processes.

Swetha Ganesh, Washim Uddin Mondal, Vaneet Aggarwal

CoRR, 2024

Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm.

Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal

CoRR, 2024

Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes.

Washim Uddin Mondal, Vaneet Aggarwal

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes.

Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Coalition Formation for Outsourced Spectrum Sensing in Cognitive Radio Network.

Asif Ahmed Sardar, Dibbendu Roy, Washim Uddin Mondal, Goutam Das

IEEE Trans. Cogn. Commun. Netw., June, 2023

Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State.

Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri

Trans. Mach. Learn. Res., 2023

Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward.

Washim Uddin Mondal, Vaneet Aggarwal

Trans. Mach. Learn. Res., 2023

Supporting Post-disaster Recovery with Agent-based Modeling in Multilayer Socio-physical Networks.

Jiawei Xue, Sangung Park, Washim Uddin Mondal, Sandro Martinelli Reia, Tong Yao, Satish V. Ukkusuri

CoRR, 2023

2022

Queuing Analysis of QoS Aware Microwave Power Transfer Enabled CR-IoT Network.

Asif Ahmed Sardar, Dibbendu Roy, Washim Uddin Mondal, Goutam Das

IEEE Trans. Wirel. Commun., 2022

On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning.

Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri

Trans. Mach. Learn. Res., 2022

Sustainability Analysis of Opportunistic CR-IoT Network Employing Microwave Power Transfer.

Asif Ahmed Sardar, Dibbendu Roy, Washim Uddin Mondal, Goutam Das

IEEE Trans. Cogn. Commun. Netw., 2022

Deep Learning-Based Coverage and Rate Manifold Estimation in Cellular Networks.

Washim Uddin Mondal, Praful D. Mankar, Goutam Das, Vaneet Aggarwal, Satish V. Ukkusuri

IEEE Trans. Cogn. Commun. Netw., 2022

On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC).

Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri

J. Mach. Learn. Res., 2022

Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL).

Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri

CoRR, 2022

Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction?

Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Economic Analysis of Cognitive Underlay Networks: A Nash Bargaining Based Approach.

Washim Uddin Mondal, Asif Ahmed Sardar, Goutam Das

IEEE Trans. Veh. Technol., 2021

Queuing Analysis of Opportunistic Cognitive Radio IoT Network with Imperfect Sensing.

Asif Ahmed Sardar, Dibbendu Roy, Washim Uddin Mondal, Goutam Das

CoRR, 2021

2020

Nash Bargaining-Based Economic Analysis of Opportunistic Cognitive Cellular Networks.

Washim Uddin Mondal, Asif Ahmed Sardar, Nilanjan Biswas, Goutam Das

IEEE Trans. Cogn. Commun. Netw., 2020

On Exact Distribution of Poisson-Voronoi Area in K-Tier HetNets With Generalized Association Rule.

Washim Uddin Mondal, Goutam Das

IEEE Commun. Lett., 2020

2019

Economic Analysis of TWDM PONs: A Sustainability and Policy-Making Perspective.

Washim Uddin Mondal, Dibbendu Roy, Sourav Dutta, Goutam Das

JOCN, 2019

Economics of TWDM PONs With Nonlinear Pricing.

Washim Uddin Mondal, Goutam Das

IEEE Commun. Lett., 2019

Predation Blocking Strategies in Real Cellular Networks and its impact on Spectrum Revenue.

Washim Uddin Mondal, Goutam Das

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Nash Bargaining Based Economic Analysis of Cognitive Cellular Networks.

Washim Uddin Mondal, Asif Ahmed Sardar, Nilanjan Biswas, Goutam Das

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2017

Traffic-Aware Green Cognitive Radio.

Washim Uddin Mondal, Sudipta Biswas, Goutam Das, Priyadip Ray

Phys. Commun., 2017

Blocking Predation in Cellular Monopoly Through Non-Linear Spectrum Pricing.

Washim Uddin Mondal, Goutam Das

IEEE Commun. Lett., 2017

Uplink User Process in Poisson Cellular Network.

Washim Uddin Mondal, Goutam Das

IEEE Commun. Lett., 2017