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2020 – today
- 2024
[i14]Biyonka Liang, Lily Xu, Aparna Taneja, Milind Tambe, Lucas Janson:
A Bayesian Approach to Online Learning for Contextual Restless Bandits with Applications to Public Health. CoRR abs/2402.04933 (2024)- 2023
- [c14]Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe:
Optimistic Whittle Index Policy: Online Learning for Restless Bandits. AAAI 2023: 10131-10139 - [c13]Paula Rodriguez Diaz, Jackson A. Killian, Lily Xu, Arun Sai Suggala, Aparna Taneja, Milind Tambe:
Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation. AAAI 2023: 12103-12111 - [c12]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:
Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program. AAAI 2023: 14295-14303 - [c11]Lily Xu:
Learning and Planning under Uncertainty for Conservation Decisions. AAAI 2023: 16139-16140 - [i13]Melissa S. Chapman, Lily Xu, Marcus Lapeyrolerie, Carl Boettiger:
Bridging adaptive management and reinforcement learning for more robust decisions. CoRR abs/2303.08731 (2023) - [i12]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:
Reflections from the Workshop on AI-Assisted Decision Making for Conservation. CoRR abs/2307.08774 (2023) - 2022
- [c10]Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe:
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games. AAAI 2022: 5219-5227 - [c9]Lily Xu, Claire Moore-Cantwell:
Modeling grammatical breakdown under processing load. CogSci 2022 - [c8]Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe:
Ranked Prioritization of Groups in Combinatorial Bandit Allocation. IJCAI 2022: 5206-5212 - [c7]Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe:
Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning. UAI 2022: 990-1000 - [i11]Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe:
Ranked Prioritization of Groups in Combinatorial Bandit Allocation. CoRR abs/2205.05659 (2022) - [i10]Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe:
Optimistic Whittle Index Policy: Online Learning for Restless Bandits. CoRR abs/2205.15372 (2022) - [i9]Siddhartha Banerjee, Sean R. Sinclair, Milind Tambe, Lily Xu, Christina Lee Yu:
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits. CoRR abs/2210.00025 (2022) - 2021
- [c6]Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe:
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. AAAI 2021: 14974-14982 - [c5]Elizabeth Bondi, Lily Xu, Diana Acosta-Navas, Jackson A. Killian:
Envisioning Communities: A Participatory Approach Towards AI for Social Good. AIES 2021: 425-436 - [c4]Lily Xu:
Learning and Planning Under Uncertainty for Green Security. IJCAI 2021: 4927-4928 - [c3]Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe:
Robust reinforcement learning under minimax regret for green security. UAI 2021: 257-267 - [i8]Elizabeth Bondi, Lily Xu, Diana Acosta-Navas, Jackson A. Killian:
Envisioning Communities: A Participatory Approach Towards AI for Social Good. CoRR abs/2105.01774 (2021) - [i7]Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe:
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games. CoRR abs/2106.03278 (2021) - [i6]Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe:
Robust Reinforcement Learning Under Minimax Regret for Green Security. CoRR abs/2106.08413 (2021) - [i5]Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe:
Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning. CoRR abs/2107.01689 (2021) - 2020
- [c2]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:
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations (Short Version). ICDE 2020: 1898-1901 - [i4]Lily Xu, Andrew Perrault, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Milind Tambe:
Game Theory on the Ground: The Effect of Increased Patrols on Deterring Poachers. CoRR abs/2006.12411 (2020) - [i3]Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe:
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. CoRR abs/2009.06560 (2020) - [i2]Rachel Guo, Lily Xu, Drew Cronin, Francis Okeke, Andrew J. Plumptre, Milind Tambe:
Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery. CoRR abs/2011.10666 (2020)
2010 – 2019
- 2019
- [i1]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:
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations. CoRR abs/1903.06669 (2019) - 2013
- [c1]Michael Thomas Tolley, Samuel M. Felton, Shuhei Miyashita, Lily Xu, ByungHyun Shin, Monica Zhou, Daniela Rus, Robert J. Wood:
Self-folding shape memory laminates for automated fabrication. IROS 2013: 4931-4936
Coauthor Index
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last updated on 2024-05-02 21:46 CEST by the dblp team
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