SOTAVerified

Decision Making

Papers

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Showing 1351–1375 of 12311 papers

TitleStatusHype
Asymptotic Consistency of Loss-Calibrated Variational Bayes—0
Interpreting, axiomatising and representing coherent choice functions in terms of desirability—0
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics—0
An alternative aggregate preference ranking algorithm to assess environmental effects on macrobenthic abundance in coastal water—0
A Dual-Memory Architecture for Reinforcement Learning on Neuromorphic Platforms—0
A Survey on Explainable Deep Reinforcement Learning—0
An Alert-Generation Framework for Improving Resiliency in Human-Supervised, Multi-Agent Teams—0
A naive aggregation algorithm for improving generalization in a class of learning problems—0
ADRD: LLM-Driven Autonomous Driving Based on Rule-based Decision Systems—0
A comprehensive study on the prediction reliability of graph neural networks for virtual screening—0
An AI-Driven Data Mesh Architecture Enhancing Decision-Making in Infrastructure Construction and Public Procurement—0
Extending choice assessments to choice functions: An algorithm for computing the natural extension—0
A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback—0
A Survey on Fairness-aware Recommender Systems—0
Adopting the Word-Pair-Dependency-Triplets with Individual Comparison for Natural Language Inference—0
An AI-Based Public Health Data Monitoring System—0
Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps—0
An AGI with Time-Inconsistent Preferences—0
An agent-based evaluation of impacts of transport developments on the modal shift in Tehran, Iran—0
A Comprehensive Study on Face Recognition Biases Beyond Demographics—0
Decision-Making in Reinforcement Learning—0
An Affective Robot Companion for Assisting the Elderly in a Cognitive Game Scenario—0
An Adversarial Interpretation of Information-Theoretic Bounded Rationality—0
Adjust for Trust: Mitigating Trust-Induced Inappropriate Reliance on AI Assistance—0
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified