← Core AI
Artificial Intelligence › Core AI ›

Decision Making

273 directly classified papers

Papers per year

Papers

Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling ACL 2025
Generative Reward Modeling via Synthetic Criteria Preference Learning ACL 2025
Curiosity-Driven Reinforcement Learning from Human Feedback ACL 2025
Know Your Mistakes: Towards Preventing Overreliance on Task-Oriented Conversational AI Through Accountability Modeling ACL 2025
From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs ACL 2025
Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning AAAI 2025
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization AAAI 2025
Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation AAAI 2025
Checking Consistency of CP-Theory Preferences in Polynomial Time AAAI 2025
A Continuous-time Tractable Model for Present-biased Agents AAAI 2025
Confounding-Robust Deferral Policy Learning AAAI 2025
Locally Convex Global Loss Network for Decision-Focused Learning AAAI 2025
Every Bit Helps: Achieving the Optimal Distortion with a Few Queries AAAI 2025
Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification AAAI 2025
In Search of Trees: Decision-Tree Policy Synthesis for Black-Box Systems via Search AAAI 2025
Fairness Shields: Safeguarding against Biased Decision Makers AAAI 2025
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences CVPR 2025
Replication-proof Bandit Mechanism Design with Bayesian Agents AAAI 2025
SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks AAAI 2025
Contextual Decision-Making with Knapsacks Beyond the Worst Case NIPS 2024
Unit Selection with Nonbinary Treatment and Effect AAAI 2024
Enhancing Robotics with Cognitive Capabilities AAAI 2024
An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NIPS 2024
Context Consistency between Training and Inference in Simultaneous Machine Translation ACL 2024
On the Actionability of Outcome Prediction AAAI 2024