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ORCIDWashim Uddin Mondal
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2020 – today
- 2024
[j20]Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai:
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms. Found. Trends Optim. 6(4): 193-298 (2024)- [j19]Washim Uddin Mondal
, Veni Goyal, Satish V. Ukkusuri, Goutam Das, Di Wang, Mohamed-Slim Alouini, Vaneet Aggarwal:
Near-Perfect Coverage Manifold Estimation in Cellular Networks via Conditional GAN. IEEE Netw. Lett. 6(2): 97-100 (2024) - [j18]Ruibo Wang, Washim Uddin Mondal, Mustafa A. Kishk, Vaneet Aggarwal, Mohamed-Slim Alouini:
Terrain-Based Coverage Manifold Estimation: Machine Learning, Stochastic Geometry, or Simulation? IEEE Open J. Commun. Soc. 5: 633-648 (2024) - [j17]Lu Ling, Washim Uddin Mondal, Satish V. Ukkusuri:
Cooperating Graph Neural Networks With Deep Reinforcement Learning for Vaccine Prioritization. IEEE J. Biomed. Health Informatics 28(8): 4891-4902 (2024) - [c5]Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal:
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes. AAAI 2024: 10980-10988 - [c4]Washim Uddin Mondal, Vaneet Aggarwal:
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes. AISTATS 2024: 3097-3105 - [i20]Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal:
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm. CoRR abs/2402.02042 (2024) - [i19]Washim Uddin Mondal, Veni Goyal, Satish V. Ukkusuri, Goutam Das, Di Wang, Mohamed-Slim Alouini, Vaneet Aggarwal:
Near-perfect Coverage Manifold Estimation in Cellular Networks via conditional GAN. CoRR abs/2402.06901 (2024) - [i18]Swetha Ganesh, Washim Uddin Mondal, Vaneet Aggarwal:
Variance-Reduced Policy Gradient Approaches for Infinite Horizon Average Reward Markov Decision Processes. CoRR abs/2404.02108 (2024) - [i17]Washim Uddin Mondal, Vaneet Aggarwal:
Sample-Efficient Constrained Reinforcement Learning with General Parameterization. CoRR abs/2405.10624 (2024) - [i16]Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai:
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms. CoRR abs/2406.11481 (2024) - [i15]Washim Uddin Mondal, Vaneet Aggarwal:
Last-Iterate Convergence of General Parameterized Policies in Constrained MDPs. CoRR abs/2408.11513 (2024) - 2023
- [j16]Asif Ahmed Sardar, Dibbendu Roy, Washim Uddin Mondal, Goutam Das:
Coalition Formation for Outsourced Spectrum Sensing in Cognitive Radio Network. IEEE Trans. Cogn. Commun. Netw. 9(3): 580-592 (2023) - [j15]Washim Uddin Mondal, Vaneet Aggarwal:
Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward. Trans. Mach. Learn. Res. 2023 (2023) - [j14]Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri:
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State. Trans. Mach. Learn. Res. 2023 (2023) - [i14]Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri:
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State. CoRR abs/2301.06889 (2023) - [i13]Washim Uddin Mondal, Vaneet Aggarwal:
Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward. CoRR abs/2305.02527 (2023) - [i12]Lu Ling, Washim Uddin Mondal, Satish V. Ukkusuri:
Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization. CoRR abs/2305.05163 (2023) - [i11]Jiawei Xue, Sangung Park, Washim Uddin Mondal, Sandro Martinelli Reia, Tong Yao, Satish V. Ukkusuri:
Supporting Post-disaster Recovery with Agent-based Modeling in Multilayer Socio-physical Networks. CoRR abs/2307.11464 (2023) - [i10]Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal:
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes. CoRR abs/2309.01922 (2023) - [i9]Washim Uddin Mondal, Vaneet Aggarwal:
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes. CoRR abs/2310.11677 (2023) - [i8]Ruibo Wang, Washim Uddin Mondal, Mustafa A. Kishk, Vaneet Aggarwal, Mohamed-Slim Alouini:
Terrain-based Coverage Manifold Estimation: Machine Learning, Stochastic Geometry, or Simulation? CoRR abs/2312.01826 (2023) - 2022
- [j13]Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri:
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC). J. Mach. Learn. Res. 23: 129:1-129:46 (2022) - [j12]Asif Ahmed Sardar, Dibbendu Roy, Washim Uddin Mondal, Goutam Das:
Sustainability Analysis of Opportunistic CR-IoT Network Employing Microwave Power Transfer. IEEE Trans. Cogn. Commun. Netw. 8(3): 1411-1421 (2022) - [j11]Washim Uddin Mondal, Praful D. Mankar, Goutam Das, Vaneet Aggarwal, Satish V. Ukkusuri:
Deep Learning-Based Coverage and Rate Manifold Estimation in Cellular Networks. IEEE Trans. Cogn. Commun. Netw. 8(4): 1706-1715 (2022) - [j10]Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri:
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning. Trans. Mach. Learn. Res. 2022 (2022) - [j9]Asif Ahmed Sardar, Dibbendu Roy, Washim Uddin Mondal, Goutam Das:
Queuing Analysis of QoS Aware Microwave Power Transfer Enabled CR-IoT Network. IEEE Trans. Wirel. Commun. 21(9): 6834-6846 (2022) - [c3]Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri:
Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction? UAI 2022: 1371-1380 - [i7]Washim Uddin Mondal, Praful D. Mankar, Goutam Das, Vaneet Aggarwal, Satish V. Ukkusuri:
Deep Learning based Coverage and Rate Manifold Estimation in Cellular Networks. CoRR abs/2202.06390 (2022) - [i6]Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri:
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction? CoRR abs/2203.00035 (2022) - [i5]Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri:
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2209.03491 (2022) - [i4]Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri:
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL). CoRR abs/2209.07437 (2022) - 2021
- [j8]Washim Uddin Mondal, Asif Ahmed Sardar, Goutam Das:
Economic Analysis of Cognitive Underlay Networks: A Nash Bargaining Based Approach. IEEE Trans. Veh. Technol. 70(2): 2024-2029 (2021) - [i3]Asif Ahmed Sardar, Dibbendu Roy, Washim Uddin Mondal, Goutam Das:
Queuing Analysis of Opportunistic Cognitive Radio IoT Network with Imperfect Sensing. CoRR abs/2103.08875 (2021) - [i2]Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri:
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC). CoRR abs/2109.04024 (2021) - 2020
- [j7]Washim Uddin Mondal, Goutam Das:
On Exact Distribution of Poisson-Voronoi Area in K-Tier HetNets With Generalized Association Rule. IEEE Commun. Lett. 24(10): 2142-2146 (2020) - [j6]Washim Uddin Mondal, Asif Ahmed Sardar, Nilanjan Biswas, Goutam Das:
Nash Bargaining-Based Economic Analysis of Opportunistic Cognitive Cellular Networks. IEEE Trans. Cogn. Commun. Netw. 6(1): 242-255 (2020) - [i1]Washim Uddin Mondal, Goutam Das:
On Exact Distribution of Poisson-Voronoi Area in K-tier HetNets with Generalized Association Rule. CoRR abs/2007.00287 (2020)
2010 – 2019
- 2019
- [j5]Washim Uddin Mondal, Goutam Das:
Economics of TWDM PONs With Nonlinear Pricing. IEEE Commun. Lett. 23(5): 822-825 (2019) - [j4]Washim Uddin Mondal, Dibbendu Roy, Sourav Dutta, Goutam Das:
Economic Analysis of TWDM PONs: A Sustainability and Policy-Making Perspective. JOCN 11(3): 79-94 (2019) - [c2]Washim Uddin Mondal, Asif Ahmed Sardar, Nilanjan Biswas, Goutam Das:
Nash Bargaining Based Economic Analysis of Cognitive Cellular Networks. ICC 2019: 1-6 - [c1]Washim Uddin Mondal, Goutam Das:
Predation Blocking Strategies in Real Cellular Networks and its impact on Spectrum Revenue. VTC Fall 2019: 1-6 - 2017
- [j3]Washim Uddin Mondal, Goutam Das:
Uplink User Process in Poisson Cellular Network. IEEE Commun. Lett. 21(9): 2013-2016 (2017) - [j2]Washim Uddin Mondal, Goutam Das:
Blocking Predation in Cellular Monopoly Through Non-Linear Spectrum Pricing. IEEE Commun. Lett. 21(11): 2464-2467 (2017) - [j1]Washim Uddin Mondal, Sudipta Biswas, Goutam Das, Priyadip Ray:
Traffic-Aware Green Cognitive Radio. Phys. Commun. 23: 20-28 (2017)
Coauthor Index
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