hammer: Multi-level coordination of reinforcement learning agents via learned messaging N Gupta, G Srinivasaraghavan, S Mohalik, N Kumar, ME Taylor Neural Computing and Applications, 1-16, 2023 | 15 | 2023 |
On the Calibration of Compartmental Epidemiological Models N Gupta, A Mai, A Abouzied, D Shasha arXiv preprint arXiv:2312.05456, 2023 | 1 | 2023 |
Efficient ResNets: Residual Network Design A Thakur, H Chauhan, N Gupta arXiv preprint arXiv:2306.12100, 2023 | 1 | 2023 |
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning N Gupta, SE Kahou arXiv preprint arXiv:2306.11128, 2023 | 1 | 2023 |
Planning Multiple Epidemic Interventions with Reinforcement Learning A Mai, N Gupta, A Abouzied, D Shasha arXiv preprint arXiv:2301.12802, 2023 | 1 | 2023 |
Understanding human mobility patterns in Chicago: an analysis of taxi data using clustering techniques H Chauhan, N Gupta, Z Haskell-Craig arXiv preprint arXiv:2306.12094, 2023 | | 2023 |
Predicting blood pressure under circumstances of missing data: An analysis of missing data patterns and imputation methods using NHANES H Chauhan, N Gupta, Z Haskell-Craig arXiv preprint arXiv:2305.01655, 2023 | | 2023 |
Prediction of drug effectiveness in rheumatoid arthritis patients based on machine learning algorithms S Chen, N Gupta, WB Galbraith, V Shah, J Cirrone Proceedings of the 2022 9th International Conference on Biomedical and …, 2022 | | 2022 |
Informationally Mosaic Reinforcement Learning (Preprint) N Gupta, T Li, Q Zhu New York University, 2022 | | 2022 |
Fully Cooperative Multi-Agent Deep Reinforcement Learning (Thesis) N Gupta, G Srinivasaraghavan, S Mohalik IIIT-Bangalore, 2019 | | 2019 |