SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 10151–10200 of 12311 papers

TitleStatusHype
Regularity and stability of feedback relaxed controls—0
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey—0
SirenLess: reveal the intention behind news—0
Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making—0
Decentralized Automotive Radar Spectrum Allocation to Avoid Mutual Interference Using Reinforcement Learning—0
Context-Aware Design of Cyber-Physical Human Systems (CPHS)—0
Machine Learning Approach to Detect Cardiac Arrhythmias in ECG Signals:—0
On Consequentialism and Fairness—0
Learning From Strategic Agents: Accuracy, Improvement, and Causality—0
Multi-lane Detection Using Instance Segmentation and Attentive Voting—0
Modeling and Counteracting Exposure Bias in Recommender Systems—0
Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study—0
Influenza Forecasting Framework based on Gaussian Processes—0
Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights and Algorithms—0
Kernel Methods for Cooperative Multi-Agent Learning with Delays—0
Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach—0
Reinforcement Learning with Differential Privacy—0
A general recurrent state space framework for modeling neural dynamics during decision-making—0
Global Decision-Making via Local Economic Transactions—0
How to Solve Fair k-Center in Massive Data Models—0
Cost-effectively Identifying Causal Effect When Only Response Variable Observable—0
Uniform Convergence of Rank-weighted Learning—0
Uniform Convergence of Rank-weighted Learning—0
Robust Multi-Agent Decision-Making with Heavy-Tailed Payoffs—0
Transparency Promotion with Model-Agnostic Linear Competitors—0
SVQN: Sequential Variational Soft Q-Learning Networks—0
Information Theoretic Model Predictive Q-Learning—0
Leveraging Semi-Supervised Learning for Fairness using Neural Networks—0
Learning from Learning Machines: Optimisation, Rules, and Social Norms—0
Value of structural health information in partially observable stochastic environments—0
A Multicriteria Decision Making Approach to Study the Barriers to the Adoption of Autonomous Vehicles—0
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach—0
Academic Performance Estimation with Attention-based Graph Convolutional Networks—0
Characterizing the Decision Boundary of Deep Neural NetworksCode0
Towards Multicellular Biological Deep Neural Nets Based on Transcriptional RegulationCode0
Teaching Responsible Data Science: Charting New Pedagogical Territory—0
Direct and indirect reinforcement learning—0
Exploring Interpretability for Predictive Process Analytics—0
Optimize Cash Collection: Use Machine learning to Predicting Invoice Payment—0
Understanding Deep Neural Network Predictions for Medical Imaging Applications—0
One-Shot Decision-Making with and without SurrogatesCode0
Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations—0
Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations—0
Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald—0
Learning Generalizable Visual Representations via Interactive Gameplay—0
Learning from Discriminatory Training Data—0
Neural Mechanisms of Human Decision-Making—0
On the Explanation of Machine Learning Predictions in Clinical Gait AnalysisCode0
Complexity of Stochastic Dual Dynamic Programming—0
Intracellular Energy Variability Modulates Cellular Decision-Making Capacity—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified