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Lily Xu
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Envisioning communities: a participatory approach towards AI for social good
E Bondi, L Xu, D Acosta-Navas, JA Killian
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 425-436, 2021
652021
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations
L Xu, S Gholami, SM Carthy, B Dilkina, A Plumptre, M Tambe, R Singh, ...
36th IEEE International Conference on Data Engineering, 2020
542020
Dual-mandate patrols: Multi-armed bandits for green security
L Xu, E Bondi, F Fang, A Perrault, K Wang, M Tambe
Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 14974 …, 2021
282021
Coordinating followers to reach better equilibria: End-to-end gradient descent for stackelberg games
K Wang, L Xu, A Perrault, MK Reiter, M Tambe
Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5219-5227, 2022
222022
Robust reinforcement learning under minimax regret for green security
L Xu, A Perrault, F Fang, H Chen, M Tambe
Uncertainty in Artificial Intelligence, 257-267, 2021
212021
Robust restless bandits: Tackling interval uncertainty with deep reinforcement learning
JA Killian, L Xu, A Biswas, M Tambe
Conference on Uncertainty in Artificial Intelligence (UAI) 180, 990-1000, 2022
72022
Bridging adaptive management and reinforcement learning for more robust decisions
M Chapman, L Xu, M Lapeyrolerie, C Boettiger
Philosophical Transactions of the Royal Society B 378 (1881), 20220195, 2023
62023
Optimistic whittle index policy: Online learning for restless bandits
K Wang, L Xu, A Taneja, M Tambe
Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 10131 …, 2023
52023
Artificial replay: a meta-algorithm for harnessing historical data in Bandits
S Banerjee, SR Sinclair, M Tambe, L Xu, CL Yu
arXiv preprint arXiv:2210.00025, 2022
52022
Game theory on the ground: The effect of increased patrols on deterring poachers
L Xu, A Perrault, A Plumptre, M Driciru, F Wanyama, A Rwetsiba, ...
arXiv preprint arXiv:2006.12411, 2020
52020
Robust planning over restless groups: engagement interventions for a large-scale maternal telehealth program
JA Killian, A Biswas, L Xu, S Verma, V Nair, A Taneja, A Hegde, ...
Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14295 …, 2023
42023
Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning
JA Killian, L Xu, A Biswas, M Tambe
Uncertainty in Artificial Intelligence, 990-1000, 2022
42022
Enhancing poaching predictions for under-resourced wildlife conservation parks using remote sensing imagery
R Guo, L Xu, D Cronin, F Okeke, A Plumptre, M Tambe
arXiv preprint arXiv:2011.10666, 2020
42020
Reflections from the Workshop on AI-Assisted Decision Making for Conservation
L Xu, E Rolf, S Beery, JR Bennett, T Berger-Wolf, T Birch, E Bondi-Kelly, ...
arXiv preprint arXiv:2307.08774, 2023
32023
Flexible budgets in restless bandits: a primal-dual algorithm for efficient budget allocation
PR Diaz, JA Killian, L Xu, AS Suggala, A Taneja, M Tambe
Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 12103 …, 2023
32023
Optimistic Whittle Index Policy: Online Learning for Restless Bandits
L Xu, A Taneja, M Tambe
arXiv preprint arXiv:2205.15372, 2022
32022
Learning and Planning Under Uncertainty for Green Security.
L Xu
IJCAI, 4927-4928, 2021
32021
Biodiversity monitoring for a just planetary future
M Chapman, BR Goldstein, CJ Schell, JS Brashares, NH Carter, ...
Science 383 (6678), 34-36, 2024
22024
Ranked Prioritization of Groups in Combinatorial Bandit Allocation
L Xu, A Biswas, F Fang, M Tambe
arXiv preprint arXiv:2205.05659, 2022
22022
A Bayesian Approach to Online Learning for Contextual Restless Bandits with Applications to Public Health
B Liang, L Xu, A Taneja, M Tambe, L Janson
arXiv preprint arXiv:2402.04933, 2024
12024
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