Shresth Verma

According to our database, Shresth Verma authored at least 19 papers between 2019 and 2024.

Collaborative distances:

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

2024

Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards.

Shresth Verma, Niclas Boehmer, Lingkai Kong, Milind Tambe

CoRR, 2024

Leveraging AI to improve health information access in the World's largest maternal mobile health program.

Shresth Verma, Arshika Lalan, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja

AI Mag., 2024

Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms.

Arshika Lalan, Shresth Verma, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Expanding impact of mobile health programs: SAHELI for maternal and child care.

Shresth Verma, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantla, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, Aparna Taneja

AI Mag., December, 2023

Analyzing and Predicting Low-Listenership Trends in a Large-Scale Mobile Health Program: A Preliminary Investigation.

Arshika Lalan, Shresth Verma, Kumar Madhu Sudan, Amrita Mahale, Aparna Hegde, Milind Tambe, Aparna Taneja

CoRR, 2023

Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits.

Paritosh Verma, Shresth Verma, Aditya Mate, Aparna Taneja, Milind Tambe

CoRR, 2023

Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare.

Panayiotis Danassis, Shresth Verma, Jackson A. Killian, Aparna Taneja, Milind Tambe

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

Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning.

Shresth Verma, Aditya Mate, Kai Wang, Neha Madhiwalla, Aparna Hegde, Aparna Taneja, Milind Tambe

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health.

Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care.

Shresth Verma, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantla, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, Aparna Taneja

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program.

Jackson A. Killian, Arpita Biswas, Lily Xu, Shresth Verma, Vineet Nair, Aparna Taneja, Aparna Hegde, Neha Madhiwalla, Paula Rodriguez Diaz, Sonja Johnson-Yu, Milind Tambe

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care Domain.

Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe

CoRR, 2022

Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health.

Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Towards Sample Efficient Learners in Population based Referential Games through Action Advising.

Shresth Verma

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

SunPy: A Python package for Solar Physics.

Stuart Mumford, Nabil Freij, Steven Christe, Jack Ireland, Florian Mayer, V. Keith Hughitt, Albert J. Shih, Daniel Ryan, Simon Liedtke, David Pérez-Suárez, Pritish Chakraborty, Vishnunarayan K, Andrew Inglis, Punyaslok Pattnaik, Brigitta M. Sipocz, Rishabh Sharma, Andrew Leonard, David Stansby, Russell J. Hewett, Alex Hamilton, Laura Hayes, Asish Panda, Matt Earnshaw, Nitin Choudhary, Ankit Kumar, Prateek Chanda, Md. Akramul Haque, Michael Kirk, Michael Mueller, Sudarshan Konge, Rajul Srivastava, Yash Jain, Samuel Bennett, Ankit Baruah, Will T. Barnes, Michael Charlton, Shane A. Maloney, Nicky Chorley, Himanshu, Sanskar Modi, James Mason, Jose Rozo, Larry Manley, Agneet Chatterjee, John Evans, Michael Malocha, Monica G. Bobra, Sourav Ghosh, Dominik Stanczak, Ruben De Visscher, Shresth Verma, Ankit Agrawal, Dumindu Buddhika, Swapnil Sharma, Jongyeob Park, Matt Bates, Dhruv Goel, Garrison Taylor, Goran Cetusic, Jacob, Mateo Inchaurrandieta, Sally Dacie, Sanjeev Dubey, Deepankar Sharma, Erik Bray, Jai Rideout, Serge Zahniy, Tomas Meszaros, Abhigyan Bose, André Chicrala, Ankit, Chloé Guennou, Daniel D'avella, Daniel Williams, Jordan Ballew, Nick Murphy, Priyank Lodha, Thomas Robitaille, Yash Krishan, Andrew Hill, Arthur Eigenbrot, Benjamin Mampaey, Bernhard Wiedemann, Carlos Molina, Duygu Keskek, Ishtyaq Habib, Joseph Letts, Juanjo Bazán, Quinn Arbolante, Reid Gomillion, Yash Kothari, Yash Sharma, Abigail Stevens, Adrian M. Price-Whelan, Ambar Mehrotra, Arseniy Kustov, Brandon Stone, Trung Dang, Emmanuel Arias, Fionnlagh Dover, Freek Verstringe, Gulshan Kumar, Harsh Mathur, Igor Babuschkin, Jaylen Wimbish, Juan Buitrago-Casas, Kalpesh Krishna, Kaustubh Hiware, Manas Mangaonkar, Matthew Mendero, Mickaël Schoentgen, Norbert Gyenge, Ole Streicher, Rajasekhar Mekala, Rishabh Mishra, Shashank Srikanth, Sarthak Jain, Tannmay Yadav, Tessa Wilkinson, Tiago Pereira, Yudhik Agrawal, Jamescalixto, Yasintoda, Sophie Murray

J. Open Source Softw., 2020

Deep Reinforcement Learning for Single-Shot Diagnosis and Adaptation in Damaged Robots.

Shresth Verma, Haritha S. Nair, Gaurav Agarwal, Joydip Dhar, Anupam Shukla

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

IIITM Face: A Database for Facial Attribute Detection in Constrained and Simulated Unconstrained Environments.

K. V. Arya, Shresth Verma, Raj Kuwar Gupta, Soumya Agarwal, Prince Gupta

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

Emergence of Writing Systems through Multi-Agent Cooperation (Student Abstract).

Shresth Verma, Joydip Dhar

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Emergence of Writing Systems Through Multi-Agent Cooperation.

Shresth Verma, Joydip Dhar

CoRR, 2019