Publications | IDEAL Lab

#	Year	Type	Publication
[1]	2026	Journal	Last-Iterate Convergence of General Parameterized Policies in Constrained MDPs W. U. Mondal, and V. Aggarwal Transactions on Machine Learning Research
[2]	2025	Conference	A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach S. Ganesh, W. U. Mondal, and V. Aggarwal International Conference on Machine Learning (ICML)
[3]	2025	Conference	Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning Y. Xu, W. U. Mondal, and V. Aggarwal Neural Information Processing Systems (NeurIPS)
[4]	2025	Conference	Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm Y. Xu, S. Ganesh, W. U. Mondal, Q. Bai, and V. Aggarwal Neural Information Processing Systems (NeurIPS)
[5]	2025	Journal	MOORL: A Framework for Integrating Offline-Online Reinforcement Learning G. Chaudhary, W. U. Mondal, and L. Behera Transactions on Machine Learning Research
[6]	2025	Conference	Order-Optimal Global Convergence for Average Reward Actor-Critic with General Policy and Neural Critic Parametrization S. Ganesh, J. Chen, W. U. Mondal, and V. Aggarwal Conference on Uncertainty in Artificial Intelligence (UAI)
[7]	2025	Conference	Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite Horizon Average Reward MDPs S. Ganesh, W. U. Mondal, and V. Aggarwal International Conference on Artificial Intelligence and Statistics (AISTATS)
[8]	2025	Conference	Uplink NOMA-Aided Multi-Device Multi-Target Integrated Sensing and Communication S. Chakrabarti, and W. U. Mondal National Conference on Communications (NCC)
[9]	2024	Book	Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms V. Aggarwal, W. U. Mondal, and Q. Bai Foundations and Trends® in Optimization (Now Publishers)
[10]	2024	Journal	Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization L. Ling, W. U. Mondal, and S. V. Ukkusuri IEEE Journal of Biomedical and Health Informatics
[11]	2024	Conference	Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes W. U. Mondal, and V. Aggarwal International Conference on Artificial Intelligence and Statistics (AISTATS)
[12]	2024	Conference	Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm Q. Bai, W. U. Mondal, and V. Aggarwal Neural Information Processing Systems (NeurIPS)
[13]	2024	Journal	Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) W. U. Mondal, V. Aggarwal, and S. V. Ukkusuri Journal of Machine Learning Research
[14]	2024	Journal	Near-Perfect Coverage Manifold Estimation in Cellular Networks via Conditional GAN W. U. Mondal, V. Goyal, S. V. Ukkusuri, G. Das, D. Wang, M. -S. Alouini, and V. Aggarwal IEEE Networking Letters
[15]	2024	Conference	Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes Q. Bai, W. U. Mondal, and V. Aggarwal AAAI Conference on Artificial Intelligence
[16]	2024	Conference	Sample-Efficient Constrained Reinforcement Learning with General Parameterization W. U. Mondal, and V. Aggarwal Neural Information Processing Systems (NeurIPS)
[17]	2024	Journal	Terrain-Based Coverage Manifold Estimation: Machine Learning, Stochastic Geometry, or Simulation? R. Wang, W. U. Mondal, M. A. Kishk, V. Aggarwal, and M. -S. Alouini IEEE Open Journal of the Communications Society
[18]	2023	Journal	Coalition Formation for Outsourced Spectrum Sensing in Cognitive Radio Network A. A Sardar, D. Roy, W. U. Mondal, and G. Das IEEE Transactions on Cognitive Communications and Networking
[19]	2023	Journal	Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State W. U. Mondal, V. Aggarwal, and S. V. Ukkusuri Transactions on Machine Learning Research
[20]	2023	Journal	Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward W. U. Mondal, and V. Aggarwal Transactions on Machine Learning Research
[21]	2022	Conference	Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction? W. U. Mondal, V. Aggarwal, and S. V. Ukkusuri Conference on Uncertainty in Artificial Intelligence (UAI)
[22]	2022	Journal	Deep Learning based Coverage and Rate Manifold Estimation in Cellular Networks W. U. Mondal, P. D. Mankar, G. Das, V. Aggarwal, and S. V. Ukkusuri IEEE Transactions on Cognitive Communications and Networking
[23]	2022	Journal	On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC) W. U. Mondal, M. Agarwal, V. Aggarwal, and S. V. Ukkusuri Journal of Machine Learning Research
[24]	2022	Journal	On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning W. U. Mondal, V. Aggarwal, and S. V. Ukkusuri Transactions on Machine Learning Research
[25]	2022	Journal	Queuing Analysis of QoS Aware Microwave Power Transfer Enabled CR-IoT Network A. A. Sardar, D. Roy, W. U. Mondal, and G. Das IEEE Transactions on Wireless Communications
[26]	2022	Journal	Sustainability Analysis of Opportunistic CR-IoT Network Employing Microwave Power Transfer A. A. Sardar, D. Roy, W. U. Mondal, and G. Das IEEE Transactions on Cognitive Communications and Networking
[27]	2021	Journal	Economic Analysis of Cognitive Underlay Networks: A Nash Bargaining Based Approach W. U. Mondal, A. A. Sardar, and G. Das IEEE Transactions on Vehicular Technology
[28]	2021	Journal	On Exact Distribution of Poisson-Voronoi Area in K-Tier HetNets With Generalized Association Rule W. U. Mondal, and G. Das IEEE Communications Letters
[29]	2021	Conference	On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC) W. U. Mondal, M. Agarwal, V. Aggarwal, and S. V. Ukkusuri Cooperative AI workshop at Neural Information Processing Systems (NeurIPS)
[30]	2020	Journal	Economics of Resilient TWDM PONs W. U. Mondal, D. Roy, S. Dutta, and G. Das IEEE/OSA Journal of Lightwave Technology
[31]	2019	Journal	Economic analysis of TWDM PONs: A sustainability and policy-making perspective W. U. Mondal, D. Roy, S. Dutta, and G. Das IEEE/OSA Journal of Optical Communications and Networking
[32]	2019	Journal	Economics of TWDM PONs with Nonlinear Pricing W. U. Mondal, and G. Das IEEE Communications Letters
[33]	2019	Conference	Nash Bargaining Based Economic Analysis of Cognitive Cellular Networks W. U. Mondal, A. A. Sardar, N. Biswas, and G. Das IEEE International Conference on Communications (ICC)
[34]	2019	Journal	Nash Bargaining Based Economic Analysis of Opportunistic Cognitive Cellular Networks W. U. Mondal, A. A. Sardar, N. Biswas, and G. Das IEEE Transactions on Cognitive Communications and Networking
[35]	2019	Conference	Predation Blocking Strategies in Real Cellular Networks and its impact on Spectrum Revenue W. U. Mondal, and G. Das IEEE Vehicular Technology Conference (VTC)
[36]	2017	Journal	Blocking predation in cellular monopoly through non-linear spectrum pricing W. U. Mondal, and G. Das IEEE Communications Letters
[37]	2017	Journal	Traffic-Aware Green Cognitive Radio W. U. Mondal, S. Biswas, G. Das, and P. Ray Physical Communication
[38]	2017	Journal	Uplink User Process in Poisson Cellular Network W. U. Mondal, and G. Das IEEE Communications Letters