Emergence of Writing Systems Through Multi-Agent Cooperation. - Shresth Verma; Joydip Dhar (CoRR, 2019)

Emergence of Writing Systems through Multi-Agent Cooperation (Student Abstract). - Shresth Verma; Joydip Dhar (AAAI, 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 (COMAD/CODS, 2020)

Deep Reinforcement Learning for Single-Shot Diagnosis and Adaptation in Damaged Robots. - Shresth Verma; Haritha S. Nair; Gaurav Agarwal; Joydip Dhar; Anupam Shukla (COMAD/CODS, 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; et al. (J. Open Source Softw., 2020)

Towards Sample Efficient Learners in Population based Referential Games through Action Advising. - Shresth Verma (AAMAS, 2021)

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 (AAAI, 2022)

Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care Domain. - Kai Wang 040; Shresth Verma; Aditya Mate; Sanket Shah; Aparna Taneja; Neha Madhiwalla; Aparna Hegde; Milind Tambe (CoRR, 2022)

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 (AAAI, 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 (AAAI, 2023)

Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health. - Kai Wang 040; Shresth Verma; Aditya Mate; Sanket Shah; Aparna Taneja; Neha Madhiwalla; Aparna Hegde; Milind Tambe (AAAI, 2023)

Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning. - Shresth Verma; Aditya Mate; Kai Wang 040; Neha Madhiwalla; Aparna Hegde; Aparna Taneja; Milind Tambe (AAMAS, 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 (IJCAI, 2023)

Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits. - Paritosh Verma; Shresth Verma; Aditya Mate; Aparna Taneja; Milind Tambe (CoRR, 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)

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., 2023)

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 (AAAI, 2024)

Group Fairness in Predict-Then-Optimize Settings for Restless Bandits. - Shresth Verma; Yunfan Zhao; Sanket Shah; Niclas Boehmer; Aparna Taneja; Milind Tambe (UAI, 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)

Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards. - Shresth Verma; Niclas Boehmer; Lingkai Kong; Milind Tambe (CoRR, 2024)

PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning. - Shresth Verma; Alayna Nguyen; Niclas Boehmer; Lingkai Kong; Milind Tambe (AAAI, 2025)

Measuring Fairness in Financial Transaction Machine Learning Models. - Deniz Sezin Ayvaz; Lorenzo Belenguer; Hankun He; Deborah Dormah Kanubala; Mingxu Li; Soung Low; Carlos Mougan; Faithful Chiagoziem Onwuegbuche; Yulu Pi; Natalia Sikora; Dan Tran; Shresth Verma; et al. (CoRR, 2025)

Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning. - Cheol Woo Kim; Jai Moondra; Shresth Verma; Madeleine Pollack; Lingkai Kong; Milind Tambe; Swati Gupta 001 (CoRR, 2025)