SOTAVerified

Decision Making

Papers

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Showing 1951–1975 of 12311 papers

TitleStatusHype
Decision-Focused Uncertainty QuantificationCode0
Adaptive teachers for amortized samplersCode0
Uncertainty-aware Human Mobility Modeling and Anomaly Detection—0
AVID: Adapting Video Diffusion Models to World Models—0
A transformer-based deep reinforcement learning approach to spatial navigation in a partially observable Morris Water Maze—0
ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directions—0
Hierarchical Organization Simulacra in the Investment Sector—0
Learning Adaptive Hydrodynamic Models Using Neural ODEs in Complex Conditions—0
Easydiagnos: a framework for accurate feature selection for automatic diagnosis in smart healthcare—0
FlyAI -- The Next Level of Artificial Intelligence is Unpredictable! Injecting Responses of a Living Fly into Decision Making—0
Interpretable Rule-Based System for Radar-Based Gesture Sensing: Enhancing Transparency and Personalization in AI—0
Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN—0
Quantifying Metrics for Wildfire Ignition Risk from Geographic Data in Power Shutoff Decision-Making—0
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active InferenceCode0
KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCACode0
Leveraging CAM Algorithms for Explaining Medical Semantic SegmentationCode0
Best Practices for Responsible Machine Learning in Credit ScoringCode0
End-to-End Conformal Calibration for Optimization Under UncertaintyCode1
ForecastBench: A Dynamic Benchmark of AI Forecasting CapabilitiesCode2
Online Decision Deferral under Budget ConstraintsCode0
Mitigating optimistic bias in entropic risk estimation and optimization with an application to insurance—0
Maia-2: A Unified Model for Human-AI Alignment in ChessCode5
On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and GeneralizabilityCode1
Conformal Prediction for Dose-Response Models with Continuous TreatmentsCode0
Inferring Preferences from Demonstrations in Multi-objective Reinforcement LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified