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Decision Making

Papers

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Showing 5551–5600 of 12311 papers

TitleStatusHype
Distance Weighted Supervised Learning for Offline Interaction DataCode0
AI-based Predictive Analytic Approaches for safeguarding the Future of Electric/Hybrid Vehicles—0
Cooperative Hierarchical Deep Reinforcement Learning based Joint Sleep and Power Control in RIS-aided Energy-Efficient RAN—0
Object Semantics Give Us the Depth We Need: Multi-task Approach to Aerial Depth Completion—0
Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach—0
Disagreement amongst counterfactual explanations: How transparency can be deceptive—0
Multi-Scale Feature Fusion using Parallel-Attention Block for COVID-19 Chest X-ray DiagnosisCode0
ChatLLM Network: More brains, More intelligence—0
Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory—0
Benchmarking ChatGPT-4 on ACR Radiation Oncology In-Training (TXIT) Exam and Red Journal Gray Zone Cases: Potentials and Challenges for AI-Assisted Medical Education and Decision Making in Radiation OncologyCode0
AGI: Artificial General Intelligence for Education—0
Addressing distributional shifts in operations management: The case of order fulfillment in customized productionCode0
Synthpop++: A Hybrid Framework for Generating A Country-scale Synthetic PopulationCode0
Hierarchical State Abstraction Based on Structural Information PrinciplesCode0
Data-driven Knowledge Fusion for Deep Multi-instance LearningCode0
SMART: A Decision-Making Framework with Multi-modality Fusion for Autonomous Driving Based on Reinforcement LearningCode1
Automatized marine vessel monitoring from sentinel-1 data using convolution neural network—0
Quantile Extreme Gradient Boosting for Uncertainty Quantification—0
How to Control Hydrodynamic Force on Fluidic Pinball via Deep Reinforcement LearningCode0
Optimal Vehicle Charging in Bilevel Power-Traffic Networks via Charging Demand Function—0
A bounded rationality account of dependency length minimization in Hindi—0
Detecting Political Opinions in Tweets through Bipartite Graph Analysis: A Skip Aggregation Graph Convolution Approach—0
On the Value of Online Learning for Radar Waveform Selection—0
Inducing anxiety in large language models can induce bias—0
Multi-Modal Deep Learning for Credit Rating Prediction Using Text and Numerical Data StreamsCode1
Spatial-Language Attention Policies for Efficient Robot Learning—0
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey—0
TempoRL: laser pulse temporal shape optimization with Deep Reinforcement LearningCode1
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making—0
A Reference Model for Collaborative Business Intelligence Virtual Assistants—0
Complex Mixer for MedMNIST Classification Decathlon—0
Multidimensional Uncertainty Quantification for Deep Neural Networks—0
A Meta-heuristic Approach to Estimate and Explain Classifier Uncertainty—0
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout—0
Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning—0
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning—0
Model Based Reinforcement Learning for Personalized Heparin Dosing—0
Optimizing Carbon Storage Operations for Long-Term SafetyCode0
AI-coherent data-driven forecasting model for a combined cycle power plantCode0
Decadal Temperature Prediction via Chaotic Behavior Tracking—0
End-to-End Policy Gradient Method for POMDPs and Explainable Agents—0
AoI-Delay Tradeoff in Mobile Edge Caching: A Mixed-Order Drift-Plus-Penalty Algorithm—0
A hybrid model for day-ahead electricity price forecasting: Combining fundamental and stochastic modellingCode0
AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions—0
Unveiling and unraveling aggregation and dispersion fallacies in group MCDMCode0
pgmpy: A Python Toolkit for Bayesian NetworksCode4
Fast-Converged Deep Reinforcement Learning for Optimal Dispatch of Large-Scale Power Systems under Transient Security ConstraintsCode1
A study on a Q-Learning algorithm application to a manufacturing assembly problem—0
Promises and Pitfalls of the Linearized Laplace in Bayesian OptimizationCode0
Unlocking Democratic Efficiency: How Coordinated Outcome-Contingent Promises Shape Decisions—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified