SOTAVerified

Decision Making

Papers

Showing 55015550 of 12311 papers

TitleStatusHype
Efficient Learning for Selecting Top-m Context-Dependent Designs0
Artificial Neuropsychology: Are Large Language Models Developing Executive Functions?0
Replicating Complex Dialogue Policy of Humans via Offline Imitation Learning with Supervised Regularization0
Walk4Me: Telehealth Community Mobility Assessment, An Automated System for Early Diagnosis and Disease Progression0
Boldness-Recalibration for Binary Event Predictions0
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models0
Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning0
Open problems in causal structure learning: A case study of COVID-19 in the UK0
Bayesian Reinforcement Learning with Limited Cognitive Load0
White-Box Multi-Objective Adversarial Attack on Dialogue GenerationCode1
Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement LearningCode1
Distributing Synergy Functions: Unifying Game-Theoretic Interaction Methods for Machine-Learning Explainability0
A Soft Coordination Method of Heterogeneous Devices in Distribution System Voltage Control0
Faithful Question Answering with Monte-Carlo PlanningCode0
Masked Trajectory Models for Prediction, Representation, and ControlCode1
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender SystemsCode0
Bayesian Safety Validation for Failure Probability Estimation of Black-Box SystemsCode1
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to GraphsCode0
Inferential Moments of Uncertain Multivariable Systems0
Asymmetric quantum decision-making0
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting EvidenceCode0
Fault Tolerant Processing Unit Using Gamma Distribution Sliding Window For Autonomous Landing Guidance System0
On the Impact of Data Quality on Image Classification Fairness0
ADVISE: AI-accelerated Design of Evidence Synthesis for Global Development0
An experimental framework for designing document structure for users' decision making - An empirical study of recipes0
Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making0
Robust and Reliable Stochastic Resource Allocation via Tail Waterfilling0
Human adaptation to adaptive machines converges to game-theoretic equilibria0
Neurosymbolic AI - Why, What, and How0
On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring0
A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models0
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical dataCode1
Catch: Collaborative Feature Set Search for Automated Feature EngineeringCode0
Beyond Classification: Financial Reasoning in State-of-the-Art Language ModelsCode0
Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-focused Approach0
Scaling Pareto-Efficient Decision Making Via Offline Multi-Objective RLCode1
Systematic Review on Reinforcement Learning in the Field of Fintech0
Semi-Infinitely Constrained Markov Decision Processes and Efficient Reinforcement LearningCode0
Resilient-Economic Coordinated Robust Operation of Integrated Electric-Gas Systems0
X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs TransformationCode1
Decision Making for Autonomous Vehicles0
pyBibX -- A Python Library for Bibliometric and Scientometric Analysis Powered with Artificial Intelligence ToolsCode1
Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning: A Dynamic Weight-based Approach0
Detection of Adversarial Physical Attacks in Time-Series Image Data0
Preference Inference from Demonstration in Multi-objective Multi-agent Decision Making0
Towards Explainable Collaborative Filtering with Taste Clusters LearningCode0
Selecting Sustainable Optimal Stock by Using Multi-Criteria Fuzzy Decision-Making Approaches Based on the Development of the Gordon Model: A case study of the Toronto Stock Exchange0
An Edge Assisted Robust Smart Traffic Management and Signalling System for Guiding Emergency Vehicles During Peak Hours0
Games for Artificial Intelligence Research: A Review and PerspectivesCode1
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified