Andrew Perrault

74 papers A* 20A 12B 1Misc 1Journal 35Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Beyond Length: Context-Aware Expansion and Independence as Developmentally Sensitive Evaluation in Child Utterances. EACL (Volume 1: Long Papers) Jiyun Chun, Eric Fosler-Lussier, Michael White, Andrew Perrault
2026	J	`jnl`	Beyond Length: Context-Aware Expansion and Independence as Developmentally Sensitive Evaluation in Child Utterances. CoRR Jiyun Chun, Eric Fosler-Lussier, Michael White, Andrew Perrault
2026	—	`conf`	Do Audio LLMs Really LISTEN, or Just Transcribe? Measuring Lexical vs. Acoustic Emotion Cues Reliance. EACL (Volume 1: Long Papers) Jingyi Chen, Zhimeng Guo, Jiyun Chun, Pichao Wang, Andrew Perrault, Micha Elsner
2026	J	`jnl`	Learning Provably Correct Distributed Protocols Without Human Knowledge. CoRR Yujie Hui, Xiaoyi Lu, Andrew Perrault, Yang Wang
2026	J	`jnl`	Optimizing Resource-Constrained Non-Pharmaceutical Interventions for Multi-Cluster Outbreak Control Using Hierarchical Reinforcement Learning. CoRR Xueqiao Peng, Andrew Perrault
2026	A*	`conf`	Optimizing Urban Service Allocation with Time-Constrained Restless Bandits. AAAI Yi Mao, Andrew Perrault
2025	A*	`conf`	Cultivating Archipelago of Forests: Evolving Robust Decision Trees Through Island Coevolution. AAAI Adam Zychowski, Andrew Perrault, Jacek Mandziuk
2025	J	`jnl`	Do Audio LLMs Really LISTEN, or Just Transcribe? Measuring Lexical vs. Acoustic Emotion Cues Reliance. CoRR Jingyi Chen, Zhimeng Guo, Jiyun Chun, Pichao Wang, Andrew Perrault, Micha Elsner
2025	J	`jnl`	Dreaming Falcon: Physics-Informed Model-Based Reinforcement Learning for Quadcopters. CoRR Eashan Vytla, Bhavanishankar Kalavakolanu, Andrew Perrault, Matthew H. McCrink
2025	A	`conf`	Fine-Tuning Text-to-Speech Diffusion Models Using Reinforcement Learning with Human Feedback. INTERSPEECH Jingyi Chen, Ju-Seung Byun, Micha Elsner, Pichao Wang, Andrew Perrault
2025	J	`jnl`	Fine-Tuning Text-to-Speech Diffusion Models Using Reinforcement Learning with Human Feedback. CoRR Jingyi Chen, Ju-Seung Byun, Micha Elsner, Pichao Wang, Andrew Perrault
2025	J	`jnl`	Normality-Guided Distributional Reinforcement Learning for Continuous Control. Trans. Mach. Learn. Res. Ju-Seung Byun, Andrew Perrault
2025	J	`jnl`	Restless Multi-armed Bandits under Frequency and Window Constraints for Public Service Inspections. CoRR Yi Mao, Andrew Perrault
2025	A*	`conf`	Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales. ICML Ju-Seung Byun, Andrew Perrault
2025	A*	`conf`	The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards. AAAI Xi Chen, Zhihui Zhu, Andrew Perrault
2025	J	`jnl`	The Next Wave of AI for Social Impact: Challenges and Opportunities. IEEE Intell. Syst. Milind Tambe, Fei Fang, Andrew Perrault, Bryan Wilder
2025	Misc	`conf`	Using RLHF to align speech enhancement approaches to mean-opinion quality scores. ICASSP Anurag Kumar, Andrew Perrault, Donald S. Williamson
2025	J	`jnl`	VISTA Score: Verification In Sequential Turn-based Assessment. CoRR Ashley Lewis, Andrew Perrault, Eric Fosler-Lussier, Michael White
2024	A*	`conf`	ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback. EMNLP Ju-Seung Byun, Jiyun Chun, Jihyung Kil, Andrew Perrault
2024	J	`jnl`	ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback. CoRR Ju-Seung Byun, Jiyun Chun, Jihyung Kil, Andrew Perrault
2024	A*	`conf`	Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret. AAAI Adam Zychowski, Andrew Perrault, Jacek Mandziuk
2024	J	`jnl`	Cultivating Archipelago of Forests: Evolving Robust Decision Trees through Island Coevolution. CoRR Adam Zychowski, Andrew Perrault, Jacek Mandziuk
2024	A*	`conf`	Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize. AAAI Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe
2024	J	`jnl`	Reinforcement Learning for Fine-tuning Text-to-speech Diffusion Models. CoRR Jingyi Chen, Ju-Seung Byun, Micha Elsner, Andrew Perrault
2024	J	`jnl`	Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales. CoRR Ju-Seung Byun, Andrew Perrault
2024	J	`jnl`	The Distributional Reward Critic Architecture for Perturbed-Reward Reinforcement Learning. CoRR Xi Chen, Zhihui Zhu, Andrew Perrault
2024	A	`conf`	Time-Constrained Restless Multi-Armed Bandits with Applications to City Service Scheduling. AAMAS Yi Mao, Andrew Perrault
2024	J	`jnl`	Using RLHF to align speech enhancement approaches to mean-opinion quality scores. CoRR Anurag Kumar, Andrew Perrault, Donald S. Williamson
2023	B	`conf`	Bootstrapping a Conversational Guide for Colonoscopy Prep. SIGDIAL Pulkit Arya, Madeleine Bloomquist, Subhankar Chakraborty, Andrew Perrault, William Schuler, Eric Fosler-Lussier, Michael White
2023	J	`jnl`	Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret. CoRR Adam Zychowski, Andrew Perrault, Jacek Mandziuk
2023	J	`jnl`	Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize. CoRR Sanket Shah, Andrew Perrault, Bryan Wilder, Milind Tambe
2023	A*	`conf`	Monitoring and Intervening on Large Populations of Weakly Coupled Processes with Social Impact Applications. AAAI Andrew Perrault
2023	J	`jnl`	Reflections from the Workshop on AI-Assisted Decision Making for Conservation. CoRR Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Y. Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa S. Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe
2023	—	`conf`	Using Reinforcement Learning for Multi-Objective Cluster-Level Optimization of Non-Pharmaceutical Interventions for Infectious Disease. ML4H@NeurIPS Xueqiao Peng, Jiaqi Xu, Xi Chen, Dinh Song An Nguyen, Andrew Perrault
2022	A*	`conf`	Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games. AAAI Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe
2022	A*	`conf`	Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses. NeurIPS Sanket Shah, Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe
2022	J	`jnl`	Learning (Local) Surrogate Loss Functions for Predict-Then-Optimize Problems. CoRR Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe
2022	J	`jnl`	Normality-Guided Distributional Reinforcement Learning for Continuous Control. CoRR Ju-Seung Byun, Andrew Perrault
2022	A*	`conf`	Training Transition Policies via Distribution Matching for Complex Tasks. ICLR Ju-Seung Byun, Andrew Perrault
2021	A	`conf`	Beyond "To Act or Not to Act": Fast Lagrangian Approaches to General Multi-Action Restless Bandits. AAMAS Jackson A. Killian, Andrew Perrault, Milind Tambe
2021	J	`jnl`	Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games. CoRR Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe
2021	A*	`conf`	Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. AAAI Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe
2021	A*	`conf`	Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning. NeurIPS Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe
2021	J	`jnl`	Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning. CoRR Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe
2021	A	`conf`	Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits. AAMAS Aditya Mate, Andrew Perrault, Milind Tambe
2021	J	`jnl`	Robust Reinforcement Learning Under Minimax Regret for Green Security. CoRR Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe
2021	A	`conf`	Robust reinforcement learning under minimax regret for green security. UAI Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe
2021	J	`jnl`	Training Transition Policies via Distribution Matching for Complex Tasks. CoRR Ju-Seung Byun, Andrew Perrault
2020	J	`jnl`	AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline. CoRR Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe
2020	J	`jnl`	Artificial Intelligence for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline. AI Mag. Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe
2020	A*	`conf`	Automatically Learning Compact Quality-aware Surrogates for Optimization Problems. NeurIPS Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe
2020	J	`jnl`	Automatically Learning Compact Quality-aware Surrogates for Optimization Problems. CoRR Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe
2020	A*	`conf`	Collapsing Bandits and Their Application to Public Health Intervention. NeurIPS Aditya Mate, Jackson A. Killian, Haifeng Xu, Andrew Perrault, Milind Tambe
2020	J	`jnl`	Collapsing Bandits and Their Application to Public Health Interventions. CoRR Aditya Mate, Jackson A. Killian, Haifeng Xu, Andrew Perrault, Milind Tambe
2020	J	`jnl`	Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. CoRR Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe
2020	A*	`conf`	End-to-End Game-Focused Learning of Adversary Behavior in Security Games. AAAI Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe
2020	J	`jnl`	Game Theory on the Ground: The Effect of Increased Patrols on Deterring Poachers. CoRR Lily Xu, Andrew Perrault, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Milind Tambe
2020	A	`conf`	Robust Spatial-Temporal Incident Prediction. UAI Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel J. Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik
2020	A	`conf`	Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games. AAMAS Kai Wang, Andrew Perrault, Aditya Mate, Milind Tambe
2020	A*	`conf`	Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. AAAI Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe
2020	A	`conf`	Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty. AAMAS Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Alpan Raval, Milind Tambe
2019	J	`jnl`	Decision-Focused Learning of Adversary Behavior in Security Games. CoRR Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe
2019	A	`conf`	Experiential Preference Elicitation for Autonomous Heating and Cooling Systems. AAMAS Andrew Perrault, Craig Boutilier
2019	J	`jnl`	Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. CoRR Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe
2019	J	`jnl`	Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty. CoRR Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Milind Tambe
2018	—	`—`	Developing and Coordinating Autonomous Agents for Efficient Electricity Markets. Andrew Perrault
2017	A	`conf`	Multiple-Profile Prediction-of-Use Games. AAMAS Andrew Perrault, Craig Boutilier
2017	—	`conf`	Multiple-Profile Prediction-of-Use Games. AAMAS Workshops (Selected Papers) Andrew Perrault, Craig Boutilier
2017	A*	`conf`	Multiple-Profile Prediction-of-Use Games. IJCAI Andrew Perrault, Craig Boutilier
2016	A	`conf`	Strategy-Proofness in the Stable Matching Problem with Couples. AAMAS Andrew Perrault, Joanna Drummond, Fahiem Bacchus
2015	A*	`conf`	Approximately Stable Pricing for Coordinated Purchasing of Electricity. IJCAI Andrew Perrault, Craig Boutilier
2015	J	`jnl`	Exploring Strategy-Proofness, Uniqueness, and Pareto Optimality for the Stable Matching Problem with Couples. CoRR Andrew Perrault, Joanna Drummond, Fahiem Bacchus
2015	A*	`conf`	SAT Is an Effective and Complete Method for Solving Stable Matching Problems with Couples. IJCAI Joanna Drummond, Andrew Perrault, Fahiem Bacchus
2014	A	`conf`	Efficient coordinated power distribution on private infrastructure. AAMAS Andrew Perrault, Craig Boutilier