| 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 | 40 | 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 | 15 | 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 | 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 | 11 | 2024 |
| 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 | 10 | 2023 |
| 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 | 9 | 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 |
| 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 | 8 | 2022 |
| Uplink user process in Poisson cellular network WU Mondal, G Das IEEE Communications Letters 21 (9), 2013-2016, 2017 | 8 | 2017 |
| 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 | 7 | 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 | 7* | 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 | 6 | 2023 |
| 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 |
| 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 | 5 | 2024 |
| Economics of TWDM PONs with nonlinear pricing WU Mondal, G Das IEEE Communications Letters 23 (5), 822-825, 2019 | 5 | 2019 |
| Mean-field approximation of cooperative constrained multi-agent reinforcement learning (cmarl) WU Mondal, V Aggarwal, SV Ukkusuri Journal of Machine Learning Research 25 (260), 1-33, 2024 | 4 | 2024 |
| 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 | 4 | 2023 |
| 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 |
| An agent-based model of post-disaster recovery in multilayer socio-physical networks J Xue, S Park, WU Mondal, SM Reia, T Yao, SV Ukkusuri Sustainable Cities and Society, 105863, 2024 | 3* | 2024 |
| Sample-Efficient Constrained Reinforcement Learning with General Parameterization WU Mondal, V Aggarwal arXiv preprint arXiv:2405.10624, 2024 | 3 | 2024 |
Vaneet AggarwalPurdue UniversityVerified email at purdue.edu
