A. Perrault

发表

Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games

Milind Tambe, Kai Wang, Andrew Perrault, 2020, AAMAS.

Dual-Mandate Patrols: Bandit-Based Learning in Green Security Domains

Milind Tambe, Fei Fang, A. Perrault, 2020 .

Autonomous RC Car Drifting

A. Perrault, S. Henry, 2022 .

Inferring between-population differences in COVID-19 dynamics

Milind Tambe, S. Jabbari, A. Perrault, 2020 .

Multiple-Profile Prediction-of-Use Games ( Extended Abstract )

Craig Boutilier, A. Perrault, 2017 .

Influence Maximization and Equilibrium Strategies in Election Network Games

A. Perrault, Anya Zhang, 2020 .

Robust Spatial-Temporal Incident Prediction

Milind Tambe, Kai Wang, Andrew Perrault, 2020, UAI.

Mapping for Public Health: Initial Plan for Using Satellite Imagery for Micronutrient Deficiency Prediction

Milind Tambe, Fei Fang, A. Perrault, 2020 .

Developing and Coordinating Autonomous Agents for Efficient Electricity Markets

A. Perrault, 2018 .

Normality-Guided Distributional Reinforcement Learning for Continuous Control

A. Perrault, Ju-Seung Byun, 2022, 2208.13125.

Artificial Intelligence for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline

Fei Fang, A. Perrault, Arunesh Sinha, 2019, AI Mag..

Multiple-Profile Prediction-of-Use Games

Craig Boutilier, Andrew Perrault, Craig Boutilier, 2017, AAMAS.

Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning

Finale Doshi-Velez, Kai Wang, A. Perrault, 2021, ArXiv.

Evaluating COVID-19 Lockdown and Business-Sector-Specific Reopening Policies for Three US States

Milind Tambe, A. Perrault, M. Majumder, 2020 .

Optimization of the Low-Carbon Energy Transition Under Static and Adaptive Carbon Taxes via Markov Decision Processes

A. Perrault, Alaisha Sharma, 2020 .

Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses

A. Perrault, Kai Wang, B. Wilder, 2022, 2203.16067.

Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses

A. Perrault, Kai Wang, B. Wilder, 2022, 2203.16067.

Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty pdf

Milind Tambe, Arunesh Sinha, Han-Ching Ou, 2019, ArXiv.

Designing Efficient Contact Tracing Through Risk-Based Quarantining

A. Perrault, M.-L. Charpignon, J. Gruber, 2020, medRxiv.

Automatically Learning Compact Quality-aware Surrogates for Optimization Problems

Milind Tambe, A. Perrault, Kai Wang, 2020, NeurIPS.

Strategy-Proofness in the Stable Matching Problem with Couples

Fahiem Bacchus, Joanna Drummond, Andrew Perrault, 2016, AAMAS.

Collapsing Bandits and Their Application to Public Health Interventions pdf

Milind Tambe, Haifeng Xu, Andrew Perrault, 2020, NeurIPS.

Efficient coordinated power distribution on private infrastructure

Craig Boutilier, Andrew Perrault, Craig Boutilier, 2014, AAMAS.

Game Theory on the Ground: The Effect of Increased Patrols on Deterring Poachers pdf

Milind Tambe, Margaret Driciru, Fred Wanyama, 2020, ArXiv.

Normality-Guided Distributional Reinforcement Learning for Continuous Control

A. Perrault, Ju-Seung Byun, 2022, ArXiv.

Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses

A. Perrault, Kai Wang, B. Wilder, 2022, NeurIPS.

Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits

Andrew Perrault, Aditya Mate, A. Perrault, 2021, AAMAS.

Modeling between-population variation in COVID-19 dynamics in Hubei, Lombardy, and New York City

Shahin Jabbari, Bryan Wilder, Han-Ching Ou, 2020, Proceedings of the National Academy of Sciences.

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

Milind Tambe, Kai Wang, Elizabeth Bondi, 2020, AAAI.

Beyond "To Act or Not to Act": Fast Lagrangian Approaches to General Multi-Action Restless Bandits

Milind Tambe, Andrew Perrault, Jackson A. Killian, 2021, AAMAS.

AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline pdf

Milind Tambe, Arunesh Sinha, Fei Fang, 2020, ArXiv.

The Role of Age Distribution and Family Structure on COVID-19 Dynamics: A Preliminary Modeling Assessment for Hubei and Lombardy

S. Jabbari, A. Perrault, Aditya Mate, 2020 .

Reflections from the Workshop on AI-Assisted Decision Making for Conservation

Melissa S. Chapman, Lester W. Mackey, Sara Beery, 2023, ArXiv.

Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning

A. Perrault, Kai Wang, M. Tambe, 2021, NeurIPS.

End-to-End Game-Focused Learning of Adversary Behavior in Security Games

Milind Tambe, A. Perrault, Aditya Mate, 2019, AAAI.

Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize

A. Perrault, B. Wilder, M. Tambe, 2023, ArXiv.

Learning (Local) Surrogate Loss Functions for Predict-Then-Optimize Problems

A. Perrault, B. Wilder, M. Tambe, 2022, ArXiv.

Multiple-Profile Prediction-of-Use Games

Craig Boutilier, Andrew Perrault, Craig Boutilier, 2017, AAMAS.

Robust Reinforcement Learning Under Minimax Regret for Green Security

Fei Fang, Milind Tambe, Andrew Perrault, 2021, UAI.

Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty

Milind Tambe, Arunesh Sinha, Han-Ching Ou, 2020, AAMAS.

Training Transition Policies via Distribution Matching for Complex Tasks

A. Perrault, Ju-Seung Byun, 2021, ICLR.

Robustness in Green Security: Minimax Regret Optimality with Reinforcement Learning

A. Perrault, Lily Xu, 2021 .

Approximately Stable Pricing for Coordinated Purchasing of Electricity

Craig Boutilier, Andrew Perrault, Craig Boutilier, 2015, IJCAI.

Using Graph Convolutional Networks to Learn Interdiction Games

Milind Tambe, Kai Wang, A. Perrault, 2019 .

Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games pdf

Milind Tambe, Michael K. Reiter, Lily Xu, 2021, AAAI.

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

Milind Tambe, Fei Fang, A. Perrault, 2020, AAAI.