Washim Uddin Mondal

Orcid: 0000-0002-2385-6034

According to our database1, Washim Uddin Mondal authored at least 29 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Terrain-Based Coverage Manifold Estimation: Machine Learning, Stochastic Geometry, or Simulation?
IEEE Open J. Commun. Soc., 2024

Variance-Reduced Policy Gradient Approaches for Infinite Horizon Average Reward Markov Decision Processes.
CoRR, 2024

Near-perfect Coverage Manifold Estimation in Cellular Networks via conditional GAN.
CoRR, 2024

Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm.
CoRR, 2024

Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes.
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.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Coalition Formation for Outsourced Spectrum Sensing in Cognitive Radio Network.
IEEE Trans. Cogn. Commun. Netw., June, 2023

Supporting Post-disaster Recovery with Agent-based Modeling in Multilayer Socio-physical Networks.
CoRR, 2023

Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization.
CoRR, 2023

Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward.
CoRR, 2023

Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State.
CoRR, 2023

2022
Queuing Analysis of QoS Aware Microwave Power Transfer Enabled CR-IoT Network.
IEEE Trans. Wirel. Commun., 2022

On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning.
Trans. Mach. Learn. Res., 2022

Sustainability Analysis of Opportunistic CR-IoT Network Employing Microwave Power Transfer.
IEEE Trans. Cogn. Commun. Netw., 2022

Deep Learning-Based Coverage and Rate Manifold Estimation in Cellular Networks.
IEEE Trans. Cogn. Commun. Netw., 2022

On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC).
J. Mach. Learn. Res., 2022

Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL).
CoRR, 2022

Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction?
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
Economic Analysis of Cognitive Underlay Networks: A Nash Bargaining Based Approach.
IEEE Trans. Veh. Technol., 2021

Queuing Analysis of Opportunistic Cognitive Radio IoT Network with Imperfect Sensing.
CoRR, 2021

2020
Nash Bargaining-Based Economic Analysis of Opportunistic Cognitive Cellular Networks.
IEEE Trans. Cogn. Commun. Netw., 2020

On Exact Distribution of Poisson-Voronoi Area in K-Tier HetNets With Generalized Association Rule.
IEEE Commun. Lett., 2020

2019
Economic Analysis of TWDM PONs: A Sustainability and Policy-Making Perspective.
JOCN, 2019

Economics of TWDM PONs With Nonlinear Pricing.
IEEE Commun. Lett., 2019

Predation Blocking Strategies in Real Cellular Networks and its impact on Spectrum Revenue.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Nash Bargaining Based Economic Analysis of Cognitive Cellular Networks.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2017
Traffic-Aware Green Cognitive Radio.
Phys. Commun., 2017

Blocking Predation in Cellular Monopoly Through Non-Linear Spectrum Pricing.
IEEE Commun. Lett., 2017

Uplink User Process in Poisson Cellular Network.
IEEE Commun. Lett., 2017


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