Search Results for author: Shresth Verma

Found 9 papers, 0 papers with code

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

no code implementations13 Nov 2023 Arshika Lalan, Shresth Verma, Kumar Madhu Sudan, Amrita Mahale, Aparna Hegde, Milind Tambe, Aparna Taneja

Mobile health programs are becoming an increasingly popular medium for dissemination of health information among beneficiaries in less privileged communities.

Time Series Time Series Prediction

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

no code implementations19 Jan 2023 Paritosh Verma, Shresth Verma, Aditya Mate, Aparna Taneja, Milind Tambe

Restless multi-arm bandits (RMABs) is a popular decision-theoretic framework that has been used to model real-world sequential decision making problems in public health, wildlife conservation, communication systems, and beyond.

Decision Making

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

no code implementations2 Feb 2022 Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe

To address this shortcoming, we propose a novel approach for decision-focused learning in RMAB that directly trains the predictive model to maximize the Whittle index solution quality.

Multi-Armed Bandits Scheduling

Emergence of Multilingualism in Population based Referential Games

no code implementations ICML Workshop LaReL 2020 Shresth Verma

The ability of agents to learn to communicate by interaction has been studied through emergent communication tasks.

Emergence of Writing Systems Through Multi-Agent Cooperation

no code implementations2 Oct 2019 Shresth Verma, Joydip Dhar

Learning to communicate is considered an essential task to develop a general AI.

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

no code implementations2 Oct 2019 Shresth Verma, Haritha S. Nair, Gaurav Agarwal, Joydip Dhar, Anupam Shukla

Robotics has proved to be an indispensable tool in many industrial as well as social applications, such as warehouse automation, manufacturing, disaster robotics, etc.

reinforcement-learning Reinforcement Learning (RL)

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