Papers (α - β)

Deep meta coordination graphs for multi-agent reinforcement learning
Nikunj Gupta, James Z Hare, Rajgopal Kannan, Viktor Prasanna
Under submission.

Hammer: Multi-level coordination of RL agents via learned messaging
Nikunj Gupta, GS Raghavan, Swarup Mohalik, Nishant Kumar, Matthew Taylor
Neural Computing and Applications 2023 (Impact factor: 6.0)
Previously AAMAS 2021: Adaptive and Learning Agents workshop

CAMMARL: Conformal action modeling in multi-agent reinforcement learning
Nikunj Gupta, Somjit Nath, Samira Ebrahimi Kahou
CVPR 2023: Multi-Agent Behavior workshop

Planning multiple epidemic interventions with reinforcement learning
Anh Mai, Nikunj Gupta, Azza Abouzied, Dennis Shasha
IJCAI 2023.

On the calibration of compartmental epidemiological models
Nikunj Gupta, Anh Mai, Azza Abouzied, Dennis Shasha
Master’s Thesis @ NYU Courant, 2023.

Prediction of drug effectiveness in rheumatoid arthritis patients using ML
Shengjia Chen, Nikunj Gupta, Buz Galbraith, Valay Shah, Jacopo Cirrone
ICBBE 2022.

Informationally-mosaic reinforcement learning
Nikunj Gupta, Tao Li, Quanyan Zhu
Preprint 2022.

Fully cooperative multi-agent deep reinforcement learning
Nikunj Gupta, GS Raghavan, Swarup Mohalik
Master’s Thesis @ IIITB, 2019.

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