Andrew Perrault
Preprints
Designing Efficient Contact Tracing Through Risk-Based Quarantining
Andrew Perrault, Marie Charpignon, Jonathan Gruber, Milind Tambe, and Maimuna S. Majumder. medRxiv and NBER.Publications
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses
Sanket Shah, Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe. NeurIPS 2022.Open Problems in (Un)fairness of the Retail Food Safety Inspection Process
Tanya Berger-Wolf, Allison Howell, Chris Kanich, Ian A. Kash, Moniba Keymanesh, Barbara Kowalcyk, Gina Nicholson Kramer, Andrew Perrault, Shubham Singh. ICML 2022 Workshop on Responsible Decision Making in Dynamic Environments.Training Transition Policies via Distribution Matching for Complex Tasks
Ju-Seung Byun and Andrew Perrault. ICLR 2022.Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games
Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, and Milind Tambe. AAAI 2022.Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning
Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe. NeurIPS 2021 (spotlight).Robust Reinforcement Learning Under Minimax Regret for Green Security
Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe. UAI 2021.Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits
Aditya Mate, Andrew Perrault, and Milind Tambe. AAMAS 2021.Beyond “To Act or Not to Act”: Fast Lagrangian Approaches to General Multi-Action Restless Bandits
Jackson Killian, Andrew Perrault, and Milind Tambe. AAMAS 2021.Dual-Mandate Patrols: Multi-Armed Bandits for Green Security
Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, and Milind Tambe. AAAI 2021.AAAI Best paper runner-up.
AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline
Andrew Perrault, Fei Fang, Arunesh Sinha, and Milind Tambe. AI Magazine, Winter 2020.Collapsing Bandits and Their Application to Public Health Interventions
Aditya Mate, Jackson A. Killian, Haifeng Xu, Andrew Perrault, and Milind Tambe. NeurIPS 2020.Automatically Learning Compact Quality-aware Surrogates for Optimization Problems
Kai Wang, Bryan Wilder, Andrew Perrault, and Milind Tambe. NeurIPS 2020 (spotlight).Modeling between-population variation in COVID-19 dynamics in Hubei, Lombardy, and New York City
Bryan Wilder, Marie Charpignon, Jackson A. Killian, Han-Ching Ou, Aditya Mate, Shahin Jabbari, Andrew Perrault, Angel Desai, Milind Tambe and Maimuna S. Majumder. PNAS, 2020.Robust Spatial-Temporal Incident Prediction
Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel Kochenderfer, Milind Tambe, and Yevgeniy Vorobeychik. UAI 2020.Optimization of the Low-Carbon Energy Transition Under Static and Adaptive Carbon Taxes via Markov Decision Processes
Alaisha Sharma, Jackson Killian and Andrew Perrault. CRCS AI for Social Good Workshop 2020.Influence Maximization and Equilibrium Strategies in Election Network Games
Anya Zhang and Andrew Perrault. CRCS AI for Social Good Workshop 2020.Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty
Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Alpan Raval, and Milind Tambe. AAMAS 2020.Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games
Kai Wang, Andrew Perrault, Aditya Mate and Milind Tambe. AAMAS 2020.Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, and Milind Tambe. AAAI 2020.End-to-End Game-Focused Learning of Adversary Behavior in Security Games
Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina and Milind Tambe. AAAI 2020.Experiential Preference Elicitation for Autonomous Heating and Cooling Systems
Andrew Perrault and Craig Boutilier. AAMAS 2019.Developing and Coordinating Autonomous Agents for Efficient Electricity Markets
Andrew Perrault and Craig Boutilier. 2018 (PhD thesis).Multiple-Profile Prediction-of-Use Games
Andrew Perrault and Craig Boutilier. IJCAI 2017.Best workshop paper, CoopMAS workshop.