← Authors

Andrew Perrault

24 papers · 2015–2026 · 8 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (47) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (10) 🀝 Dynamic Duo (11) πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (6) πŸ“ˆ Trend Setter πŸ’Ž Century Club (21) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (116) ❓ The Questioner

Conferences

AAAI (10) NIPS (4) IJCAI (3) EACL (2) UAI (2) EMNLP (1) ICLR (1) ICML (1)

Top co-authors

Milind Tambe (11) Kai Wang (6) Bryan Wilder (4) Sanket Shah (3) Lily Xu (3) Jiyun Chun (3) Ju-Seung Byun (3) Jacek MaΕ„dziuk (2) Adam Ε»ychowski (2) Haipeng Chen (2)

Keywords

markov decision process (5) green security (3) reinforcement learning (3) adversarial robustness (2) coevolutionary algorithm (2) stackelberg game (2) mixed nash equilibrium (2) restless multi-armed bandit (2) decision-focused learning (2) optimization problem (2) minimax regret (2) loss function learning (2) whittle index (2) multi-agent system (2) robust optimization (2) sequential decision (2) multi-modal learning (1) supervised learning (1) sample efficiency (1) chain-of-thought reasoning (1)

Papers

Do Audio LLMs Really LISTEN, or Just Transcribe? Measuring Lexical vs. Acoustic Emotion Cues Reliance EACL 2026
Optimizing Urban Service Allocation with Time-Constrained Restless Bandits AAAI 2026
Beyond Length: Context-Aware Expansion and Independence as Developmentally Sensitive Evaluation in Child Utterances EACL 2026
Cultivating Archipelago of Forests: Evolving Robust Decision Trees Through Island Coevolution AAAI 2025
The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards AAAI 2025
Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales ICML 2025
Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize AAAI 2024
ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback EMNLP 2024
Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret AAAI 2024
Monitoring and Intervening on Large Populations of Weakly Coupled Processes with Social Impact Applications AAAI 2023
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses NIPS 2022
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games AAAI 2022
Training Transition Policies via Distribution Matching for Complex Tasks ICLR 2022
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning NIPS 2021
Robust reinforcement learning under minimax regret for green security UAI 2021
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security AAAI 2021
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning AAAI 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems NIPS 2020
Collapsing Bandits and Their Application to Public Health Intervention NIPS 2020
Robust Spatial-Temporal Incident Prediction UAI 2020
End-to-End Game-Focused Learning of Adversary Behavior in Security Games AAAI 2020
Multiple-Profile Prediction-of-Use Games IJCAI 2017
Approximately Stable Pricing for Coordinated Purchasing of Electricity IJCAI 2015
SAT Is an Effective and Complete Method for Solving Stable Matching Problems with Couples IJCAI 2015