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Jackson A. Killian

5 accepted papers

2023

Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats

Lucia Gordon, Nikhil Behari, Samuel Collier, Elizabeth Bondi-Kelly, Jackson A. Killian, Catherine Ressijac +3
IJCAI 2023poster

Much of Earth's charismatic megafauna is endangered by human activities, particularly the rhino, which is at risk of extinction due to the poaching crisis in Africa. Monitoring rhinos' movement is crucial to their protection but has unfortunately proven difficult because rhinos are elusive. Therefor…

Cited by 2Source ↗PDF ↗code ↗Scholar ↗
2023

Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation

Paula Rodriguez Diaz, Jackson A. Killian, Lily Xu, Arun Sai Suggala, Aparna Taneja, Milind Tambe
AAAI 2023technical

Restless multi-armed bandits (RMABs) are an important model to optimize allocation of limited resources in sequential decision-making settings. Typical RMABs assume the budget --- the number of arms pulled --- to be fixed for each step in the planning horizon. However, for realistic real-world plann…

Cited by 8Source ↗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 8Source ↗PDF ↗Scholar ↗
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 +5
AAAI 2023technical

In 2020, maternal mortality in India was estimated to be as high as 130 deaths per 100K live births, nearly twice the UN's target. To improve health outcomes, the non-profit ARMMAN sends automated voice messages to expecting and new mothers across India. However, 38% of mothers stop listening to the…

Cited by 10Source ↗PDF ↗Scholar ↗
2022

Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning

Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe
UAI 2022poster

We introduce robustness in \textit{restless multi-armed bandits} (RMABs), a popular model for constrained resource allocation among independent stochastic processes (arms). Nearly all RMAB techniques assume stochastic dynamics are precisely known. However, in many real-world settings, dynamics are e…

Cited by 8Source ↗PDF ↗code ↗Scholar ↗