Andrew Perrault
25 papers · 2015–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (6)
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Hot Topic Early Bird
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Conference Polyglot
(7)
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Academic Marathon
(10)
π€
Dynamic Duo
(11)
π
Grand Slam
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Keyword Champion
(2)
π₯
Unstoppable
(6)
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Trend Setter
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Century Club
(21)
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Prolific Year
(5)
ποΈ
Keyword Collector
(116)
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The Questioner
Conferences
AAAI (10)
NIPS (4)
IJCAI (3)
EACL (2)
UAI (2)
ACL (1)
EMNLP (1)
ICLR (1)
ICML (1)
Top co-authors
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
VISTA: Verification In Sequential Turn-based Assessment
ACL 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
Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret
AAAI 2024
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
Monitoring and Intervening on Large Populations of Weakly Coupled Processes with Social Impact Applications
AAAI 2023
Training Transition Policies via Distribution Matching for Complex Tasks
ICLR 2022
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
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security
AAAI 2021
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
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
AAAI 2020
Robust Spatial-Temporal Incident Prediction
UAI 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems
NIPS 2020
End-to-End Game-Focused Learning of Adversary Behavior in Security Games
AAAI 2020
Collapsing Bandits and Their Application to Public Health Intervention
NIPS 2020
Multiple-Profile Prediction-of-Use Games
IJCAI 2017
SAT Is an Effective and Complete Method for Solving Stable Matching Problems with Couples
IJCAI 2015
Approximately Stable Pricing for Coordinated Purchasing of Electricity
IJCAI 2015