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 | 31 | 2022 |
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 | 12 | 2024 |
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 | 9 | 2024 |
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 | 9 | 2024 |
Blocking predation in cellular monopoly through non-linear spectrum pricing WU Mondal, G Das IEEE Communications Letters 21 (11), 2464-2467, 2017 | 9 | 2017 |
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 | 8 | 2022 |
Uplink user process in Poisson cellular network WU Mondal, G Das IEEE Communications Letters 21 (9), 2013-2016, 2017 | 8 | 2017 |
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 | 7 | 2023 |
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 | 6 | 2022 |
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 | 6 | 2022 |
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 | 6 | 2019 |
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 | 5 | 2023 |
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 | 4 | 2024 |
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 | 4 | 2020 |
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 | 3 | 2023 |
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) WU Mondal, V Aggarwal, SV Ukkusuri arXiv preprint arXiv:2209.07437, 2022 | 3 | 2022 |
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 | 3 | 2021 |
Economics of TWDM PONs with nonlinear pricing WU Mondal, G Das IEEE Communications Letters 23 (5), 822-825, 2019 | 3 | 2019 |