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Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)


Sep 15, 2022
Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri

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On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning


Sep 07, 2022
Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri

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* Transactions on Machine Learning Research, 2022 

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Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction?


Feb 28, 2022
Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri

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Deep Learning based Coverage and Rate Manifold Estimation in Cellular Networks


Feb 13, 2022
Washim Uddin Mondal, Praful D. Mankar, Goutam Das, Vaneet Aggarwal, Satish V. Ukkusuri

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On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)


Sep 09, 2021
Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri

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* 47 pages 

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Quantifying spatial homogeneity of urban road networks via graph neural networks


Jan 01, 2021
Jiawei Xue, Nan Jiang, Senwei Liang, Qiyuan Pang, Satish V. Ukkusuri, Jianzhu Ma

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* 22 pages, 5 figures 

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City2City: Translating Place Representations across Cities


Nov 26, 2019
Takahiro Yabe, Kota Tsubouchi, Toru Shimizu, Yoshihide Sekimoto, Satish V. Ukkusuri

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* A short 4-page version of this work was accepted in ACM SIGSPATIAL Conference 2019. This is the full version with details. In Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM 

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