Washim Uddin Mondal

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 44

Top Topics

Markov Decision Processes

Economic Analysis

Reinforcement Learning

Top Venues

IEEE Commun. Lett.

IEEE Trans. Cogn. Commun. Netw.

Trans. Mach. Learn. Res.

Publications

Washim Uddin Mondal, Veni Goyal, Satish V. Ukkusuri, Goutam Das, Di Wang, Mohamed-Slim Alouini, Vaneet Aggarwal
Near-perfect Coverage Manifold Estimation in Cellular Networks via conditional GAN. CoRR (2024)
Ruibo Wang, Washim Uddin Mondal, Mustafa A. Kishk, Vaneet Aggarwal, Mohamed-Slim Alouini
Terrain-Based Coverage Manifold Estimation: Machine Learning, Stochastic Geometry, or Simulation? IEEE Open J. Commun. Soc. 5 (2024)
Washim Uddin Mondal, Vaneet Aggarwal
Sample-Efficient Constrained Reinforcement Learning with General Parameterization. CoRR (2024)
Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms. Found. Trends Optim. 6 (4) (2024)
Washim Uddin Mondal, Veni Goyal, Satish V. Ukkusuri, Goutam Das, Di Wang, Mohamed-Slim Alouini, Vaneet Aggarwal
Near-Perfect Coverage Manifold Estimation in Cellular Networks via Conditional GAN. IEEE Netw. Lett. 6 (2) (2024)
Lu Ling, Washim Uddin Mondal, Satish V. Ukkusuri
Cooperating Graph Neural Networks With Deep Reinforcement Learning for Vaccine Prioritization. IEEE J. Biomed. Health Informatics 28 (8) (2024)
Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes. AAAI (2024)
Washim Uddin Mondal, Vaneet Aggarwal
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes. AISTATS (2024)
Swetha Ganesh, Washim Uddin Mondal, Vaneet Aggarwal
Variance-Reduced Policy Gradient Approaches for Infinite Horizon Average Reward Markov Decision Processes. CoRR (2024)
Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm. CoRR (2024)
Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms. CoRR (2024)
Washim Uddin Mondal, Vaneet Aggarwal
Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward. Trans. Mach. Learn. Res. 2023 (2023)
Jiawei Xue, Sangung Park, Washim Uddin Mondal, Sandro Martinelli Reia, Tong Yao, Satish V. Ukkusuri
Supporting Post-disaster Recovery with Agent-based Modeling in Multilayer Socio-physical Networks. CoRR (2023)
Washim Uddin Mondal, Vaneet Aggarwal
Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward. CoRR (2023)
Washim Uddin Mondal, Vaneet Aggarwal
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes. CoRR (2023)
Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State. CoRR (2023)
Asif Ahmed Sardar, Dibbendu Roy, Washim Uddin Mondal, Goutam Das
Coalition Formation for Outsourced Spectrum Sensing in Cognitive Radio Network. IEEE Trans. Cogn. Commun. Netw. 9 (3) (2023)
Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State. Trans. Mach. Learn. Res. 2023 (2023)
Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes. CoRR (2023)
Ruibo Wang, Washim Uddin Mondal, Mustafa A. Kishk, Vaneet Aggarwal, Mohamed-Slim Alouini
Terrain-based Coverage Manifold Estimation: Machine Learning, Stochastic Geometry, or Simulation? CoRR (2023)
Lu Ling, Washim Uddin Mondal, Satish V. Ukkusuri
Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization. CoRR (2023)
Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL). CoRR (2022)
Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC). J. Mach. Learn. Res. 23 (2022)
Asif Ahmed Sardar, Dibbendu Roy, Washim Uddin Mondal, Goutam Das
Queuing Analysis of QoS Aware Microwave Power Transfer Enabled CR-IoT Network. IEEE Trans. Wirel. Commun. 21 (9) (2022)
Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning. CoRR (2022)
Washim Uddin Mondal, Praful D. Mankar, Goutam Das, Vaneet Aggarwal, Satish V. Ukkusuri
Deep Learning-Based Coverage and Rate Manifold Estimation in Cellular Networks. IEEE Trans. Cogn. Commun. Netw. 8 (4) (2022)
Washim Uddin Mondal, Praful D. Mankar, Goutam Das, Vaneet Aggarwal, Satish V. Ukkusuri
Deep Learning based Coverage and Rate Manifold Estimation in Cellular Networks. CoRR (2022)
Asif Ahmed Sardar, Dibbendu Roy, Washim Uddin Mondal, Goutam Das
Sustainability Analysis of Opportunistic CR-IoT Network Employing Microwave Power Transfer. IEEE Trans. Cogn. Commun. Netw. 8 (3) (2022)
Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction? UAI (2022)
Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction? CoRR (2022)
Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning. Trans. Mach. Learn. Res. 2022 (2022)
Washim Uddin Mondal, Asif Ahmed Sardar, Goutam Das
Economic Analysis of Cognitive Underlay Networks: A Nash Bargaining Based Approach. IEEE Trans. Veh. Technol. 70 (2) (2021)
Asif Ahmed Sardar, Dibbendu Roy, Washim Uddin Mondal, Goutam Das
Queuing Analysis of Opportunistic Cognitive Radio IoT Network with Imperfect Sensing. CoRR (2021)
Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC). CoRR (2021)
Washim Uddin Mondal, Asif Ahmed Sardar, Nilanjan Biswas, Goutam Das
Nash Bargaining-Based Economic Analysis of Opportunistic Cognitive Cellular Networks. IEEE Trans. Cogn. Commun. Netw. 6 (1) (2020)
Washim Uddin Mondal, Goutam Das
On Exact Distribution of Poisson-Voronoi Area in K-tier HetNets with Generalized Association Rule. CoRR (2020)
Washim Uddin Mondal, Goutam Das
On Exact Distribution of Poisson-Voronoi Area in K-Tier HetNets With Generalized Association Rule. IEEE Commun. Lett. 24 (10) (2020)
Washim Uddin Mondal, Asif Ahmed Sardar, Nilanjan Biswas, Goutam Das
Nash Bargaining Based Economic Analysis of Cognitive Cellular Networks. ICC (2019)
Washim Uddin Mondal, Dibbendu Roy, Sourav Dutta, Goutam Das
Economic Analysis of TWDM PONs: A Sustainability and Policy-Making Perspective. JOCN 11 (3) (2019)
Washim Uddin Mondal, Goutam Das
Economics of TWDM PONs With Nonlinear Pricing. IEEE Commun. Lett. 23 (5) (2019)
Washim Uddin Mondal, Goutam Das
Predation Blocking Strategies in Real Cellular Networks and its impact on Spectrum Revenue. VTC Fall (2019)
Washim Uddin Mondal, Sudipta Biswas, Goutam Das, Priyadip Ray
Traffic-Aware Green Cognitive Radio. Phys. Commun. 23 (2017)
Washim Uddin Mondal, Goutam Das
Blocking Predation in Cellular Monopoly Through Non-Linear Spectrum Pricing. IEEE Commun. Lett. 21 (11) (2017)
Washim Uddin Mondal, Goutam Das
Uplink User Process in Poisson Cellular Network. IEEE Commun. Lett. 21 (9) (2017)