SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1451–1500 of 12311 papers

TitleStatusHype
Exploring Computational User Models for Agent Policy SummarizationCode0
Exploring and steering the moral compass of Large Language ModelsCode0
Exploring Kolmogorov-Arnold Networks for Interpretable Time Series ClassificationCode0
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making SystemsCode0
Self-supervised network distillation: an effective approach to exploration in sparse reward environmentsCode0
Human-in-the-loop Fairness: Integrating Stakeholder Feedback to Incorporate Fairness Perspectives in Responsible AICode0
PEAK: Explainable Privacy Assistant through Automated Knowledge ExtractionCode0
FreqRISE: Explaining time series using frequency maskingCode0
Algorithmic Fairness Verification with Graphical ModelsCode0
"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual ExplanationsCode0
Explanatory Paradigms in Neural NetworksCode0
Exploring the Sensitivity of LLMs' Decision-Making Capabilities: Insights from Prompt Variation and HyperparametersCode0
Factorized Machine Self-Confidence for Decision-Making AgentsCode0
Explaining Interactions Between Text SpansCode0
AALF: Almost Always Linear ForecastingCode0
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property PredictionCode0
Explaining Deep Classification of Time-Series Data with Learned PrototypesCode0
Explaining by Imitating: Understanding Decisions by Interpretable Policy LearningCode0
Explaining Reinforcement Learning Agents Through Counterfactual Action OutcomesCode0
Explainable Multi-View Deep Networks Methodology for Experimental PhysicsCode0
Explainable Reinforcement Learning via Model TransformsCode0
Explainable Knowledge Graph Embedding: Inference Reconciliation for Knowledge Inferences Supporting Robot ActionsCode0
Explainable Debugger for Black-box Machine Learning ModelsCode0
Adaptive Traffic Control with Deep Reinforcement Learning:Towards State-of-the-art and BeyondCode0
Explaining AI in Finance: Past, Present, ProspectsCode0
Explaining Reinforcement Learning Policies through Counterfactual TrajectoriesCode0
Explainable AI for Ship Collision Avoidance: Decoding Decision-Making Processes and Behavioral IntentionsCode0
Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamicsCode0
Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity ModelsCode0
Explainable AI for ML jet taggers using expert variables and layerwise relevance propagationCode0
Explainable Authorship Verification in Social Media via Attention-based Similarity LearningCode0
A Methodology and Software Architecture to Support Explainability-by-DesignCode0
Explainability and Hate Speech: Structured Explanations Make Social Media Moderators FasterCode0
Adaptive teachers for amortized samplersCode0
A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game TheoryCode0
Explainable AI models for predicting liquefaction-induced lateral spreadingCode0
Expert-guided Bayesian Optimisation for Human-in-the-loop Experimental Design of Known SystemsCode0
Explainability of Deep Neural Networks for Brain Tumor DetectionCode0
An active learning method for solving competitive multi-agent decision-making and control problemsCode0
A Stochastic Alternating Balance k-Means Algorithm for Fair ClusteringCode0
Algorithmic Decision-Making under Agents with Persistent ImprovementCode0
A churn prediction dataset from the telecom sector: a new benchmark for uplift modelingCode0
ExClaim: Explainable Neural Claim Verification Using RationalizationCode0
Modeling the effects of environmental and perceptual uncertainty using deterministic reinforcement learning dynamics with partial observabilityCode0
EVKG: An Interlinked and Interoperable Electric Vehicle Knowledge Graph for Smart Transportation SystemCode0
Evolutionary Multi-Armed Bandits with Genetic Thompson SamplingCode0
Excitation Dropout: Encouraging Plasticity in Deep Neural NetworksCode0
Expert-elicitation method for non-parametric joint priors using normalizing flowsCode0
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo LabelsCode0
Explaining RL Decisions with TrajectoriesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified