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Washim Uddin Mondal
Washim Uddin Mondal
Assistant Professor, IIT Kanpur
在 iitk.ac.in 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
On the approximation of cooperative heterogeneous multi-agent reinforcement learning (MARL) using mean field control (MFC)
WU Mondal, M Agarwal, V Aggarwal, SV Ukkusuri
Journal of Machine Learning Research 23 (129), 1-46, 2022
312022
Improved sample complexity analysis of natural policy gradient algorithm with general parameterization for infinite horizon discounted reward markov decision processes
WU Mondal, V Aggarwal
International Conference on Artificial Intelligence and Statistics, 3097-3105, 2024
122024
Cooperating graph neural networks with deep reinforcement learning for vaccine prioritization
L Ling, WU Mondal, SV Ukkusuri
IEEE Journal of Biomedical and Health Informatics, 2024
92024
Regret analysis of policy gradient algorithm for infinite horizon average reward markov decision processes
Q Bai, WU Mondal, V Aggarwal
Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 10980 …, 2024
92024
Blocking predation in cellular monopoly through non-linear spectrum pricing
WU Mondal, G Das
IEEE Communications Letters 21 (11), 2464-2467, 2017
92017
Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction?
WU Mondal, V Aggarwal, SV Ukkusuri
Uncertainty in Artificial Intelligence, 1371-1380, 2022
82022
Uplink user process in Poisson cellular network
WU Mondal, G Das
IEEE Communications Letters 21 (9), 2013-2016, 2017
82017
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State
WU Mondal, V Aggarwal, SV Ukkusuri
Transactions on Machine Learning Research, 2023
72023
Nash bargaining-based economic analysis of opportunistic cognitive cellular networks
WU Mondal, AA Sardar, N Biswas, G Das
IEEE Transactions on Cognitive Communications and Networking 6 (1), 242-255, 2019
7*2019
On the near-optimality of local policies in large cooperative multi-agent reinforcement learning
WU Mondal, V Aggarwal, SV Ukkusuri
Transactions on Machine Learning Research, 2022
62022
Deep Learning-Based Coverage and Rate Manifold Estimation in Cellular Networks
WU Mondal, PD Mankar, G Das, V Aggarwal, SV Ukkusuri
IEEE Transactions on Cognitive Communications and Networking 8 (4), 1706-1715, 2022
62022
Economic analysis of TWDM PONs: A sustainability and policy-making perspective
WU Mondal, D Roy, S Dutta, G Das
Journal of Optical Communications and Networking 11 (3), 79-94, 2019
62019
Coalition formation for outsourced spectrum sensing in cognitive radio network
AA Sardar, D Roy, WU Mondal, G Das
IEEE Transactions on Cognitive Communications and Networking 9 (3), 580-592, 2023
52023
Variance-Reduced Policy Gradient Approaches for Infinite Horizon Average Reward Markov Decision Processes
S Ganesh, WU Mondal, V Aggarwal
arXiv preprint arXiv:2404.02108, 2024
42024
On exact distribution of Poisson-voronoi area in K-tier HetNets with generalized association rule
WU Mondal, G Das
IEEE Communications Letters 24 (10), 2142-2146, 2020
42020
Terrain-based coverage manifold estimation: Machine learning, stochastic geometry, or simulation?
R Wang, WU Mondal, MA Kishk, V Aggarwal, MS Alouini
IEEE Open Journal of the Communications Society, 2023
32023
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)
WU Mondal, V Aggarwal, SV Ukkusuri
arXiv preprint arXiv:2209.07437, 2022
32022
Sustainability Analysis of Opportunistic CR-IoT Network Employing Microwave Power Transfer
AA Sardar, D Roy, WU Mondal, G Das
IEEE Transactions on Cognitive Communications and Networking 8 (3), 1411 - 1421, 2022
3*2022
Economic analysis of cognitive underlay networks: A Nash bargaining based approach
WU Mondal, AA Sardar, G Das
IEEE Transactions on Vehicular Technology 70 (2), 2024-2029, 2021
32021
Economics of TWDM PONs with nonlinear pricing
WU Mondal, G Das
IEEE Communications Letters 23 (5), 822-825, 2019
32019
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