Perrault, Andrew

21 publications

AAAI 2025 Cultivating Archipelago of Forests: Evolving Robust Decision Trees Through Island Coevolution Adam Zychowski, Andrew Perrault, Jacek Mandziuk

TMLR 2025 Normality-Guided Distributional Reinforcement Learning for Continuous Control Ju-Seung Byun, Andrew Perrault

ICML 2025 Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales Ju-Seung Byun, Andrew Perrault

AAAI 2025 The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards Xi Chen, Zhihui Zhu, Andrew Perrault

AAAI 2024 Coevolutionary Algorithm for Building Robust Decision Trees Under Minimax Regret Adam Zychowski, Andrew Perrault, Jacek Mandziuk

AAAI 2024 Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe

AAAI 2023 Monitoring and Intervening on Large Populations of Weakly Coupled Processes with Social Impact Applications Andrew Perrault

AAAI 2022 Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe

NeurIPS 2022 Decision-Focused Learning Without Decision-Making: Learning Locally Optimized Decision Losses Sanket Shah, Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe

ICLR 2022 Training Transition Policies via Distribution Matching for Complex Tasks Ju-Seung Byun, Andrew Perrault

AAAI 2021 Dual-Mandate Patrols: Multi-Armed Bandits for Green Security Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe

NeurIPS 2021 Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe

UAI 2021 Robust Reinforcement Learning Under Minimax Regret for Green Security Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe

NeurIPS 2020 Automatically Learning Compact Quality-Aware Surrogates for Optimization Problems Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe

NeurIPS 2020 Collapsing Bandits and Their Application to Public Health Intervention Aditya Mate, Jackson Killian, Haifeng Xu, Andrew Perrault, 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, Milind Tambe

UAI 2020 Robust Spatial-Temporal Incident Prediction Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik

AAAI 2020 Solving Online Threat Screening Games Using Constrained Action Space Reinforcement Learning Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe

IJCAI 2017 Multiple-Profile Prediction-of-Use Games Andrew Perrault, Craig Boutilier

IJCAI 2015 Approximately Stable Pricing for Coordinated Purchasing of Electricity Andrew Perrault, Craig Boutilier

IJCAI 2015 SAT Is an Effective and Complete Method for Solving Stable Matching Problems with Couples Joanna Drummond, Andrew Perrault, Fahiem Bacchus