Xu, Lily

12 publications

AAAI 2025 Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits Biyonka Liang, Lily Xu, Aparna Taneja, Milind Tambe, Lucas Janson

ICLR 2025 Reinforcement Learning with Combinatorial Actions for Coupled Restless Bandits Lily Xu, Bryan Wilder, Elias Boutros Khalil, Milind Tambe

AAAI 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 2023 Learning and Planning Under Uncertainty for Conservation Decisions Lily Xu

AAAI 2023 Optimistic Whittle Index Policy: Online Learning for Restless Bandits Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe

AAAI 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, Aparna Hegde, Neha Madhiwalla, Paula Rodriguez Diaz, Sonja Johnson-Yu, Milind Tambe

AAAI 2022 Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe

IJCAI 2022 Ranked Prioritization of Groups in Combinatorial Bandit Allocation Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe

UAI 2022 Restless and Uncertain: Robust Policies for Restless Bandits via Deep Multi-Agent Reinforcement Learning Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe

AAAI 2021 Dual-Mandate Patrols: Multi-Armed Bandits for Green Security Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe

IJCAI 2021 Learning and Planning Under Uncertainty for Green Security Lily Xu

UAI 2021 Robust Reinforcement Learning Under Minimax Regret for Green Security Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe