Search Results for author: Lily Xu

Found 7 papers, 5 papers with code

Ranked Prioritization of Groups in Combinatorial Bandit Allocation

1 code implementation11 May 2022 Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe

Preventing poaching through ranger patrols protects endangered wildlife, directly contributing to the UN Sustainable Development Goal 15 of life on land.

Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning

1 code implementation4 Jul 2021 Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe

To make RMABs more useful in settings with uncertain dynamics: (i) We introduce the Robust RMAB problem and develop solutions for a minimax regret objective when transitions are given by interval uncertainties; (ii) We develop a double oracle algorithm for solving Robust RMABs and demonstrate its effectiveness on three experimental domains; (iii) To enable our double oracle approach, we introduce RMABPPO, a novel deep reinforcement learning algorithm for solving RMABs.

Multi-agent Reinforcement Learning reinforcement-learning

Robust Reinforcement Learning Under Minimax Regret for Green Security

1 code implementation15 Jun 2021 Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe

We formulate the problem as a game between the defender and nature who controls the parameter values of the adversarial behavior and design an algorithm MIRROR to find a robust policy.

Decision Making reinforcement-learning

Envisioning Communities: A Participatory Approach Towards AI for Social Good

no code implementations4 May 2021 Elizabeth Bondi, Lily Xu, Diana Acosta-Navas, Jackson A. Killian

We argue that AI for social good ought to be assessed by the communities that the AI system will impact, using as a guide the capabilities approach, a framework to measure the ability of different policies to improve human welfare equity.

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

no code implementations20 Nov 2020 Rachel Guo, Lily Xu, Drew Cronin, Francis Okeke, Andrew Plumptre, Milind Tambe

To ensure under-resourced parks have access to meaningful poaching predictions, we introduce the use of publicly available remote sensing data to extract features for parks.

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

2 code implementations14 Sep 2020 Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe

Conservation efforts in green security domains to protect wildlife and forests are constrained by the limited availability of defenders (i. e., patrollers), who must patrol vast areas to protect from attackers (e. g., poachers or illegal loggers).

Multi-Armed Bandits

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