| 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 | 72 | 2021 |
| 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 | 54 | 2020 |
| 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 | 30 | 2021 |
| 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 | 27 | 2022 |
| 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 | 22 | 2021 |
| 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 | 9 | 2023 |
| Biodiversity monitoring for a just planetary future M Chapman, BR Goldstein, CJ Schell, JS Brashares, NH Carter, ... Science 383 (6678), 34-36, 2024 | 8 | 2024 |
| 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 | 8 | 2023 |
| 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 | 8 | 2022 |
| 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 | 6 | 2023 |
| 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 | 6 | 2022 |
| 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 | 5 | 2020 |
| 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 | 4 | 2023 |
| 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 | 4 | 2022 |
| Optimistic Whittle Index Policy: Online Learning for Restless Bandits L Xu, A Taneja, M Tambe arXiv preprint arXiv:2205.15372, 2022 | 4 | 2022 |
| 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 | 4 | 2020 |
| 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 | 3 | 2023 |
| Learning and Planning Under Uncertainty for Green Security. L Xu IJCAI, 4927-4928, 2021 | 3 | 2021 |
| 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 | 2 | 2024 |
| Ranked prioritization of groups in combinatorial bandit allocation L Xu, A Biswas, F Fang, M Tambe arXiv preprint arXiv:2205.05659, 2022 | 2 | 2022 |
