Nikunj Gupta

According to our database, Nikunj Gupta authored at least 27 papers between 2002 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning.

Nikunj Gupta, James Zachary Hare, Jesse Milzman, Rajgopal Kannan, Viktor K. Prasanna

CoRR, May, 2026

Do LLM-derived graph priors improve multi-agent coordination?

Nikunj Gupta, Rajgopal Kannan, Viktor K. Prasanna

CoRR, April, 2026

Action-Graph Policies: Learning Action Co-dependencies in Multi-Agent Reinforcement Learning.

Nikunj Gupta, James Zachary Hare, Jesse Milzman, Rajgopal Kannan, Viktor K. Prasanna

CoRR, February, 2026

2025

HierRouter: Coordinated Routing of Specialized Large Language Models via Reinforcement Learning.

Nikunj Gupta, Bill Guo, Rajgopal Kannan, Viktor K. Prasanna

CoRR, November, 2025

TIGER-MARL: Enhancing Multi-Agent Reinforcement Learning with Temporal Information through Graph-based Embeddings and Representations.

Nikunj Gupta, Ludwika Twardecka, James Zachary Hare, Jesse Milzman, Rajgopal Kannan, Viktor K. Prasanna

CoRR, November, 2025

hammer: Multi-level coordination of reinforcement learning agents via learned messaging.

Nikunj Gupta, G. Srinivasaraghavan, Swarup Mohalik, Nishant Kumar, Matthew E. Taylor

Neural Comput. Appl., July, 2025

Accelerating Independent Multi-Agent Reinforcement Learning on Multi-GPU Platforms.

Samuel Wiggins, Nikunj Gupta, Grace Zgheib, Mahesh A. Iyer, Viktor K. Prasanna

Dataset, June, 2025

Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning.

Nikunj Gupta, James Zachary Hare, Rajgopal Kannan, Viktor K. Prasanna

CoRR, February, 2025

ARC: A Runtime Engine for Accelerating Independent Multi-Agent Reinforcement Learning on Multi-Core Processors.

Samuel Wiggins, Nikunj Gupta, Grace Zgheib, Mahesh A. Iyer, Viktor K. Prasanna

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

Accelerating Independent Multi-Agent Reinforcement Learning on Multi-GPU Platforms.

Samuel Wiggins, Nikunj Gupta, Grace Zgheib, Mahesh A. Iyer, Viktor K. Prasanna

Proceedings of the Euro-Par 2025: Parallel Processing, 2025

2023

On the calibration of compartmental epidemiological models.

Nikunj Gupta, Anh L. Mai, Azza Abouzied, Dennis E. Shasha

CoRR, 2023

Efficient ResNets: Residual Network Design.

Aditya Thakur, Harish Chauhan, Nikunj Gupta

CoRR, 2023

Understanding human mobility patterns in Chicago: an analysis of taxi data using clustering techniques.

Harish Chauhan, Nikunj Gupta, Zoe Haskell-Craig

CoRR, 2023

CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning.

Nikunj Gupta, Samira Ebrahimi Kahou

CoRR, 2023

Predicting blood pressure under circumstances of missing data: An analysis of missing data patterns and imputation methods using NHANES.

Harish Chauhan, Nikunj Gupta, Zoe Haskell-Craig

CoRR, 2023

Planning Multiple Epidemic Interventions with Reinforcement Learning.

Anh L. Mai, Nikunj Gupta, Azza Abouzied, Dennis E. Shasha

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Benchmarking the Parallel 1D Heat Equation Solver in Chapel, Charm++, C++, HPX, Go, Julia, Python, Rust, Swift, and Java.

Patrick Diehl, Max Morris, Steven R. Brandt, Nikunj Gupta, Hartmut Kaiser

Proceedings of the Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28, 2023

2022

Prediction of drug effectiveness in rheumatoid arthritis patients based on machine learning algorithms.

Shengjia Chen, Nikunj Gupta, Woodward B. Galbraith, Valay Shah, Jacopo Cirrone

Proceedings of the 9th International Conference on Biomedical and Bioinformatics Engineering, 2022

Quantifying Overheads in Charm++ and HPX Using Task Bench.

Nanmiao Wu, Ioannis Gonidelis, Simeng Liu, Zane Fink, Nikunj Gupta, Karame Mohammadiporshokooh, Patrick Diehl, Hartmut Kaiser, Laxmikant V. Kalé

Proceedings of the Euro-Par 2022: Parallel Processing Workshops, 2022

2021

HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging.

Nikunj Gupta, G. Srinivasaraghavan, Swarup Kumar Mohalik, Matthew E. Taylor

CoRR, 2021

Parallel SIMD - A Policy Based Solution for Free Speed-Up using C++ Data-Parallel Types.

Srinivas Yadav, Nikunj Gupta, Auriane Reverdell, Hartmut Kaiser

Proceedings of the 6th IEEE/ACM International Workshop on Extreme Scale Programming Models and Middleware, 2021

2020

HPX - The C++ Standard Library for Parallelism and Concurrency.

Hartmut Kaiser, Patrick Diehl, Adrian S. Lemoine, Bryce Lelbach, Parsa Amini, Agustín Berge, John Biddiscombe, Steven R. Brandt, Nikunj Gupta, Thomas Heller, Kevin A. Huck, Zahra Khatami, Alireza Kheirkhahan, Auriane Reverdell, Shahrzad Shirzad, Mikael Simberg, Bibek Wagle, Weile Wei, Tianyi Zhang

J. Open Source Softw., 2020

Implementing Software Resiliency in HPX for Extreme Scale Computing.

Nikunj Gupta, Jackson R. Mayo, Adrian S. Lemoine, Hartmut Kaiser

CoRR, 2020

Towards Distributed Software Resilience in Asynchronous Many- Task Programming Models.

Nikunj Gupta, Jackson R. Mayo, Adrian S. Lemoine, Hartmut Kaiser

Proceedings of the 10th IEEE/ACM Workshop on Fault Tolerance for HPC at eXtreme Scale, 2020

Deploying a Task-based Runtime System on Raspberry Pi Clusters.

Nikunj Gupta, Steven R. Brandt, Bibek Wagle, Nanmiao Wu, Alireza Kheirkhahan, Patrick Diehl, Felix W. Baumann, Hartmut Kaiser

Proceedings of the 5th IEEE/ACM International Workshop on Extreme Scale Programming Models and Middleware, 2020

Performance Evaluation of ParalleX Execution model on Arm-based Platforms.

Nikunj Gupta, Rohit Ashiwal, Bine Brank, Sateesh K. Peddoju, Dirk Pleiter

Proceedings of the IEEE International Conference on Cluster Computing, 2020

2002

Parallel Processing Approaches for Multi Disciplinary Optimization.

Florin Bogdan Manolache, Sorin Costiner, Ricardo Munoz, Shubhro Ghosh, Nikunj Gupta, Roderick Ross

Sci. Ann. Cuza Univ., 2002