Lily Xu

According to our database, Lily Xu authored at least 21 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Bayesian Approach to Online Learning for Contextual Restless Bandits with Applications to Public Health.

Biyonka Liang, Lily Xu, Aparna Taneja, Milind Tambe, Lucas Janson

CoRR, 2024

2023

Reflections from the Workshop on AI-Assisted Decision Making for Conservation.

Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Y. Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa S. Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe

CoRR, 2023

Bridging adaptive management and reinforcement learning for more robust decisions.

Melissa S. Chapman, Lily Xu, Marcus Lapeyrolerie, Carl Boettiger

CoRR, 2023

Learning and Planning under Uncertainty for Conservation Decisions.

Lily Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Optimistic Whittle Index Policy: Online Learning for Restless Bandits.

Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits.

Siddhartha Banerjee, Sean R. Sinclair, Milind Tambe, Lily Xu, Christina Lee Yu

CoRR, 2022

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

Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Ranked Prioritization of Groups in Combinatorial Bandit Allocation.

Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning.

Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe

CoRR, 2021

Robust reinforcement learning under minimax regret for green security.

Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Learning and Planning Under Uncertainty for Green Security.

Lily Xu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Envisioning Communities: A Participatory Approach Towards AI for Social Good.

Elizabeth Bondi, Lily Xu, Diana Acosta-Navas, Jackson A. Killian

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Dual-Mandate Patrols: Multi-Armed Bandits for Green Security.

Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery.

Rachel Guo, Lily Xu, Drew Cronin, Francis Okeke, Andrew J. Plumptre, Milind Tambe

CoRR, 2020

Game Theory on the Ground: The Effect of Increased Patrols on Deterring Poachers.

Lily Xu, Andrew Perrault, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Milind Tambe

CoRR, 2020

Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations (Short Version).

Lily Xu, Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsabuga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations.

Shahrzad Gholami, Lily Xu, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsubaga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel

CoRR, 2019

2013

Self-folding shape memory laminates for automated fabrication.

Michael Thomas Tolley, Samuel M. Felton, Shuhei Miyashita, Lily Xu, ByungHyun Shin, Monica Zhou, Daniela Rus, Robert J. Wood

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013