| 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 | 23 | 2022 |
| 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 |
| 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 | 8* | 2019 |
| Uplink user process in Poisson cellular network WU Mondal, G Das IEEE Communications Letters 21 (9), 2013-2016, 2017 | 8 | 2017 |
| 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 | 7 | 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 | 6 | 2024 |
| 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 |
| 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 |
| Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization L Ling, WU Mondal arXiv preprint arXiv:2305.05163, 2023 | 5 | 2023 |
| 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 | 5 | 2022 |
| 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 |
| 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, 2023 | 3 | 2023 |
| 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 | 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 |
| 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 | 3 | 2020 |
| Economics of TWDM PONs with nonlinear pricing WU Mondal, G Das IEEE Communications Letters 23 (5), 822-825, 2019 | 3 | 2019 |
| Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward WU Mondal, V Aggarwal Transactions on Machine Learning Research, 2023 | 2 | 2023 |
| Queuing Analysis of QoS Aware Microwave Power Transfer Enabled CR-IoT Network AA Sardar, D Roy, WU Mondal, G Das IEEE Transactions on Wireless Communications 21 (9), 6834-6846, 2022 | 2 | 2022 |
Vaneet AggarwalPurdue University在 purdue.edu 的电子邮件经过验证
