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← Core AI
Artificial Intelligence
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Core AI
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Decision Making
273 directly classified papers
Papers per year
2007: 4
2008: 2
2009: 3
2010: 6
2011: 3
2012: 5
2013: 3
2014: 4
2015: 2
2016: 6
2017: 3
2018: 11
2019: 26
2020: 19
2021: 29
2022: 31
2023: 34
2024: 38
2025: 44
Papers
Improved Bounds for Online Facility Location with Predictions
AAAI 2025
Curiosity-Driven Reinforcement Learning from Human Feedback
ACL 2025
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization
AAAI 2025
DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data
AAAI 2025
InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes Under Herd Behavior
ACL 2025
Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
ACL 2025
Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification
AAAI 2025
SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
AAAI 2025
Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives
AAAI 2025
Locally Convex Global Loss Network for Decision-Focused Learning
AAAI 2025
Joint Scoring Rules: Competition Between Agents Avoids Performative Prediction
AAAI 2025
Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling
ACL 2025
Confounding-Robust Deferral Policy Learning
AAAI 2025
Every Bit Helps: Achieving the Optimal Distortion with a Few Queries
AAAI 2025
A Continuous-time Tractable Model for Present-biased Agents
AAAI 2025
Fairness Shields: Safeguarding against Biased Decision Makers
AAAI 2025
GenPlan: Generative Sequence Models as Adaptive Planners
AAAI 2025
Replication-proof Bandit Mechanism Design with Bayesian Agents
AAAI 2025
Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning
AAAI 2025
LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study
AAAI 2025
Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation
AAAI 2025
Towards Practical Classical Planning Compilations of Numeric Planning
AAAI 2025
Checking Consistency of CP-Theory Preferences in Polynomial Time
AAAI 2025
In Search of Trees: Decision-Tree Policy Synthesis for Black-Box Systems via Search
AAAI 2025
Generative Reward Modeling via Synthetic Criteria Preference Learning
ACL 2025
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