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 (IROS, 2013)

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; et al. (CoRR, 2019)

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; et al. (ICDE, 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)

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)

Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. - Lily Xu; Elizabeth Bondi; Fei Fang 001; Andrew Perrault; Kai Wang 040; Milind Tambe (AAAI, 2021)

Envisioning Communities: A Participatory Approach Towards AI for Social Good. - Elizabeth Bondi; Lily Xu; Diana Acosta-Navas; Jackson A. Killian (AIES, 2021)

Learning and Planning Under Uncertainty for Green Security. - Lily Xu (IJCAI, 2021)

Robust reinforcement learning under minimax regret for green security. - Lily Xu; Andrew Perrault; Fei Fang 001; Haipeng Chen 001; Milind Tambe (UAI, 2021)

Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning. - Jackson A. Killian; Lily Xu; Arpita Biswas; Milind Tambe (CoRR, 2021)

Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games. - Kai Wang 040; Lily Xu; Andrew Perrault; Michael K. Reiter; Milind Tambe (AAAI, 2022)

Modeling grammatical breakdown under processing load. - Lily Xu; Claire Moore-Cantwell (CogSci, 2022)

Ranked Prioritization of Groups in Combinatorial Bandit Allocation. - Lily Xu; Arpita Biswas; Fei Fang 001; Milind Tambe (IJCAI, 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, 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)

Optimistic Whittle Index Policy: Online Learning for Restless Bandits. - Kai Wang 040; Lily Xu; Aparna Taneja; 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)

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, 2023)

Learning and Planning under Uncertainty for Conservation Decisions. - Lily Xu (AAAI, 2023)

Bridging adaptive management and reinforcement learning for more robust decisions. - Melissa S. Chapman; Lily Xu; Marcus Lapeyrolerie; Carl Boettiger (CoRR, 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 001; Andrew Davies; Nikhil Garg; et al. (CoRR, 2023)

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)

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

Reinforcement learning with combinatorial actions for coupled restless bandits. - Lily Xu; Bryan Wilder; Elias Boutros Khalil; Milind Tambe (ICLR, 2025)

Generative AI Against Poaching: Latent Composite Flow Matching for Wildlife Conservation. - Lingkai Kong; Haichuan Wang; Charles A. Emogor; Vincent Börsch-Supan; Lily Xu; Milind Tambe (CoRR, 2025)