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08/17/2023
Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health
Restless multi-armed bandits (RMABs) are a popular framework for algorit...
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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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05/22/2023
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare
The success of many healthcare programs depends on participants' adheren...
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03/01/2023
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks
Motivated by applications such as machine repair, project monitoring, an...
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02/06/2023
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation
We consider the task of evaluating policies of algorithmic resource allo...
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01/19/2023
Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits
Restless multi-arm bandits (RMABs) is a popular decision-theoretic frame...
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10/31/2022
Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits
We study the problem of planning restless multi-armed bandits (RMABs) wi...
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10/31/2022
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence
In September 2016, Stanford's "One Hundred Year Study on Artificial Inte...
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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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04/29/2022
Evolutionary Approach to Security Games with Signaling
Green Security Games have become a popular way to model scenarios involv...
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04/28/2022
ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria
More than 5 million children under five years die from largely preventab...
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02/28/2022
Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop at AAAI 2022
The workshop will focus on the application of AI to problems in cyber se...
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01/28/2022
Networked Restless Multi-Armed Bandits for Mobile Interventions
Motivated by a broad class of mobile intervention problems, we propose a...
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09/22/2021
Facilitating human-wildlife cohabitation through conflict prediction
With increasing world population and expanded use of forests as cohabite...
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09/16/2021
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health
The widespread availability of cell phones has enabled non-profits to de...
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07/07/2021
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling
There is significant interest in learning and optimizing a complex syste...
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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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06/13/2021
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach
The influence maximization (IM) problem aims at finding a subset of seed...
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06/08/2021
Solving Structured Hierarchical Games Using Differential Backward Induction
Many real-world systems possess a hierarchical structure where a strateg...
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06/06/2021
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning
In the predict-then-optimize framework, the objective is to train a pred...
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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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05/17/2021
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare
In many public health settings, it is important for patients to adhere t...
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03/08/2021
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems
Restless Multi-Armed Bandits (RMABs) have been popularly used to model l...
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02/21/2021
A Game-Theoretic Approach for Hierarchical Policy-Making
We present the design and analysis of a multi-level game-theoretic model...
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01/07/2021
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach
Active screening is a common approach in controlling the spread of recur...
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12/23/2020
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway
The Mumbai Suburban Railways, locals, are a key transit infrastructure o...
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12/18/2020
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty
Green Security Games (GSGs) have been successfully used in the protectio...
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12/07/2020
Efficient Reservoir Management through Deep Reinforcement Learning
Dams impact downstream river dynamics through flow regulation and disrup...
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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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11/05/2020
Measuring Data Collection Quality for Community Healthcare
Machine learning has tremendous potential to provide targeted interventi...
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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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09/12/2020
Tracking disease outbreaks from sparse data with Bayesian inference
The COVID-19 pandemic provides new motivation for a classic problem in e...
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07/11/2020
Preliminary Results from a Peer-Led, Social Network Intervention, Augmented by Artificial Intelligence to Prevent HIV among Youth Experiencing Homelessness
Each year, there are nearly 4 million youth experiencing homelessness (Y...
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07/05/2020
Collapsing Bandits and Their Application to Public Health Interventions
We propose and study Collpasing Bandits, a new restless multi-armed band...
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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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06/18/2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems
Solving optimization problems with unknown parameters often requires lea...
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06/14/2020
Fair Influence Maximization: A Welfare Optimization Approach
Several social interventions (e.g., suicide and HIV prevention) leverage...
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06/13/2020
Missed calls, Automated Calls and Health Support: Using AI to improve maternal health outcomes by increasing program engagement
India accounts for 11% of maternal deaths globally where a woman dies in...
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12/16/2019
AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline
With the maturing of AI and multiagent systems research, we have a treme...
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11/20/2019
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
Large-scale screening for potential threats with limited resources and c...
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07/12/2019
MIPaaL: Mixed Integer Program as a Layer
Machine learning components commonly appear in larger decision-making pi...
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05/31/2019
End to end learning and optimization on graphs
Real-world applications often combine learning and optimization problems...
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03/08/2019
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations
Illegal wildlife poaching threatens ecosystems and drives endangered spe...
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03/03/2019
Group-Fairness in Influence Maximization
Influence maximization is a widely used model for information disseminat...
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03/03/2019
Decision-Focused Learning of Adversary Behavior in Security Games
Stackelberg security games are a critical tool for maximizing the utilit...
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02/05/2019
Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data
Digital Adherence Technologies (DATs) are an increasingly popular method...
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01/16/2019
Artificial Intelligence for Social Good
The Computing Community Consortium (CCC), along with the White House Off...
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11/09/2018