Panayiotis Danassis — accepted AI-conference papers

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 +3

AAAI 2024technical

Harnessing the wide-spread availability of cell phones, many nonprofits have launched mobile health (mHealth) programs to deliver information via voice or text to beneficiaries in underserved communities, with maternal and infant health being a key area of such mHealth programs. Unfortunately, dwind…

Cited by 1 Source ↗PDF ↗Scholar ↗

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 2023poster

The success of many healthcare programs depends on participants' adherence. We consider the problem of scheduling interventions in low resource settings (e.g., placing timely support calls from health workers) to increase adherence and/or engagement. Past works have successfully developed several cl…

Cited by 8 Source ↗PDF ↗Scholar ↗

2021

Improving Multi-agent Coordination by Learning to Estimate Contention

Panayiotis Danassis, Florian Wiedemair, Boi Faltings

IJCAI 2021poster

We present a multi-agent learning algorithm, ALMA-Learning, for efficient and fair allocations in large-scale systems. We circumvent the traditional pitfalls of multi-agent learning (e.g., the moving target problem, the curse of dimensionality, or the need for mutually consistent actions) by relying…

Cited by 7 Source ↗PDF ↗Scholar ↗