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07/17/2023
Reflections from the Workshop on AI-Assisted Decision Making for Conservation
In this white paper, we synthesize key points made during presentations ...
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03/15/2023
Bridging adaptive management and reinforcement learning for more robust decisions
From out-competing grandmasters in chess to informing high-stakes health...
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09/30/2022
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits
While standard bandit algorithms sometimes incur high regret, their perf...
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05/30/2022
Optimistic Whittle Index Policy: Online Learning for Restless Bandits
Restless multi-armed bandits (RMABs) extend multi-armed bandits to allow...
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05/11/2022
Ranked Prioritization of Groups in Combinatorial Bandit Allocation
Preventing poaching through ranger patrols protects endangered wildlife,...
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07/04/2021
Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning
We introduce Robust Restless Bandits, a challenging generalization of re...
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06/06/2021
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games
A growing body of work in game theory extends the traditional Stackelber...
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05/04/2021
Envisioning Communities: A Participatory Approach Towards AI for Social Good
Research in artificial intelligence (AI) for social good presupposes som...
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11/20/2020
Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery
Illegal wildlife poaching is driving the loss of biodiversity. To combat...
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09/14/2020
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security
Conservation efforts in green security domains to protect wildlife and f...
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06/22/2020
Game Theory on the Ground: The Effect of Increased Patrols on Deterring Poachers
Applications of artificial intelligence for wildlife protection have foc...
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03/08/2019