Jackson A. Killian

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 22

Top Topics

Reinforcement Learning

Multi Armed Bandits

Top Venues

Publications

Paula Rodriguez Diaz, Jackson A. Killian, Lily Xu, Arun Sai Suggala, Aparna Taneja, Milind Tambe
Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation. AAAI (2023)
Panayiotis Danassis, Shresth Verma, Jackson A. Killian, Aparna Taneja, Milind Tambe
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare. CoRR (2023)
Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz, Susobhan Ghosh, Milind Tambe
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks. AAMAS (2023)
Jackson A. Killian, Manish Jain, Yugang Jia, Jonathan Amar, Erich Huang, Milind Tambe
Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health. CoRR (2023)
Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz, Susobhan Ghosh, Milind Tambe
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks. CoRR (2023)
Lucia Gordon, Nikhil Behari, Samuel Collier, Elizabeth Bondi-Kelly, Jackson A. Killian, Catherine Ressijac, Peter Boucher, Andrew Davies, Milind Tambe
Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats. IJCAI (2023)
Panayiotis Danassis, Shresth Verma, Jackson A. Killian, Aparna Taneja, Milind Tambe
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare. IJCAI (2023)
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
Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program. AAAI (2023)
Han-Ching Ou, Christoph Siebenbrunner, Jackson A. Killian, Meredith B. Brooks, David Kempe, Yevgeniy Vorobeychik, Milind Tambe
Networked Restless Multi-Armed Bandits for Mobile Interventions. AAMAS (2022)
Han-Ching Ou, Christoph Siebenbrunner, Jackson A. Killian, Meredith B. Brooks, David Kempe, Yevgeniy Vorobeychik, Milind Tambe
Networked Restless Multi-Armed Bandits for Mobile Interventions. CoRR (2022)
Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe
Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning. UAI (2022)
Jackson A. Killian, Andrew Perrault, Milind Tambe
Beyond "To Act or Not to Act": Fast Lagrangian Approaches to General Multi-Action Restless Bandits. AAMAS (2021)
Elizabeth Bondi, Lily Xu, Diana Acosta-Navas, Jackson A. Killian
Envisioning Communities: A Participatory Approach Towards AI for Social Good. AIES (2021)
Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe
Q-Learning Lagrange Policies for Multi-Action Restless Bandits. CoRR (2021)
Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe
Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning. CoRR (2021)
Elizabeth Bondi, Lily Xu, Diana Acosta-Navas, Jackson A. Killian
Envisioning Communities: A Participatory Approach Towards AI for Social Good. CoRR (2021)
Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe
Q-Learning Lagrange Policies for Multi-Action Restless Bandits. KDD (2021)
Aditya Mate, Jackson A. Killian, Haifeng Xu, Andrew Perrault, Milind Tambe
Collapsing Bandits and Their Application to Public Health Interventions. CoRR (2020)
Aditya Mate, Jackson A. Killian, Haifeng Xu, Andrew Perrault, Milind Tambe
Collapsing Bandits and Their Application to Public Health Intervention. NeurIPS (2020)
Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe
Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data. CoRR (2019)
Jackson A. Killian, Kevin M. Passino, Arnab Nandi, Danielle R. Madden, John D. Clapp
Learning to Detect Heavy Drinking Episodes Using Smartphone Accelerometer Data. KHD@IJCAI (2019)
Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe
Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data. KDD (2019)