| 2026 | AAAI | Optimizing Urban Service Allocation with Time-Constrained Restless Bandits. | Yi Mao, Andrew Perrault |
| 2026 | ACL | VISTA: Verification In Sequential Turn-based Assessment. | Ashley Lewis, Andrew Perrault, Eric Fosler-Lussier, Michael White |
| 2026 | EACL | Do Audio LLMs Really LISTEN, or Just Transcribe? Measuring Lexical vs. Acoustic Emotion Cues Reliance. | Jingyi Chen, Zhimeng Guo, Jiyun Chun, Pichao Wang, Andrew Perrault, Micha Elsner |
| 2026 | EACL | Beyond Length: Context-Aware Expansion and Independence as Developmentally Sensitive Evaluation in Child Utterances. | Jiyun Chun, Eric Fosler-Lussier, Michael White, Andrew Perrault |
| 2025 | AAAI | The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards. | Xi Chen, Zhihui Zhu, Andrew Perrault |
| 2025 | AAAI | Cultivating Archipelago of Forests: Evolving Robust Decision Trees Through Island Coevolution. | Adam Zychowski, Andrew Perrault, Jacek Mandziuk |
| 2025 | ICASSP | Using RLHF to align speech enhancement approaches to mean-opinion quality scores. | Anurag Kumar, Andrew Perrault, Donald S. Williamson |
| 2025 | ICML | Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales. | Ju-Seung Byun, Andrew Perrault |
| 2025 | Interspeech | Fine-Tuning Text-to-Speech Diffusion Models Using Reinforcement Learning with Human Feedback. | Jingyi Chen, Ju-Seung Byun, Micha Elsner, Pichao Wang, Andrew Perrault |
| 2024 | AAAI | Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize. | Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe |
| 2024 | AAAI | Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret. | Adam Zychowski, Andrew Perrault, Jacek Mandziuk |
| 2024 | EMNLP | ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback. | Ju-Seung Byun, Jiyun Chun, Jihyung Kil, Andrew Perrault |
| 2023 | AAAI | Monitoring and Intervening on Large Populations of Weakly Coupled Processes with Social Impact Applications. | Andrew Perrault |
| 2023 | SIGdial | Bootstrapping a Conversational Guide for Colonoscopy Prep. | Pulkit Arya, Madeleine Bloomquist, Subhankar Chakraborty, Andrew Perrault, William Schuler, Eric Fosler-Lussier, Michael White |
| 2022 | AAAI | 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 |
| 2022 | ICLR | Training Transition Policies via Distribution Matching for Complex Tasks. | Ju-Seung Byun, Andrew Perrault |
| 2021 | AAAI | Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. | Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe |
| 2021 | UAI | Robust reinforcement learning under minimax regret for green security. | Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe |
| 2020 | AAAI | End-to-End Game-Focused Learning of Adversary Behavior in Security Games. | Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe |
| 2020 | AAAI | Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. | Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe |
| 2020 | UAI | Robust Spatial-Temporal Incident Prediction. | Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel J. Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik |
| 2017 | IJCAI | Multiple-Profile Prediction-of-Use Games. | Andrew Perrault, Craig Boutilier |
| 2015 | IJCAI | SAT Is an Effective and Complete Method for Solving Stable Matching Problems with Couples. | Joanna Drummond, Andrew Perrault, Fahiem Bacchus |
| 2015 | IJCAI | Approximately Stable Pricing for Coordinated Purchasing of Electricity. | Andrew Perrault, Craig Boutilier |