SOTAVerified

Decision Making

Papers

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Showing 1951–2000 of 12311 papers

TitleStatusHype
Uncertainty-aware Human Mobility Modeling and Anomaly Detection—0
Decision-Focused Uncertainty QuantificationCode0
Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction—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
Hierarchical Organization Simulacra in the Investment Sector—0
ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directions—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
Interpretable Rule-Based System for Radar-Based Gesture Sensing: Enhancing Transparency and Personalization in AI—0
FlyAI -- The Next Level of Artificial Intelligence is Unpredictable! Injecting Responses of a Living Fly into Decision Making—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
KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCACode0
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active InferenceCode0
Best Practices for Responsible Machine Learning in Credit ScoringCode0
Mitigating optimistic bias in entropic risk estimation and optimization with an application to insurance—0
Leveraging CAM Algorithms for Explaining Medical Semantic SegmentationCode0
End-to-End Conformal Calibration for Optimization Under UncertaintyCode1
ForecastBench: A Dynamic Benchmark of AI Forecasting CapabilitiesCode2
Online Decision Deferral under Budget ConstraintsCode0
Sufficient and Necessary Explanations (and What Lies in Between)—0
On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and GeneralizabilityCode1
Customized Information and Domain-centric Knowledge Graph Construction with Large Language Models—0
Inferring Preferences from Demonstrations in Multi-objective Reinforcement LearningCode0
Conformal Prediction for Dose-Response Models with Continuous TreatmentsCode0
Maia-2: A Unified Model for Human-AI Alignment in ChessCode5
American Call Options Pricing With Modular Neural Networks—0
Realtime, multimodal invasive ventilation risk monitoring using language models and BoXHED—0
Joint Trajectory Replanning for Mars Ascent Vehicle under Propulsion System Faults: A Suboptimal Learning-Based Warm-Start Approach—0
DataDRILL: Formation Pressure Prediction and Kick Detection for Drilling Rigs—0
Understanding Clinical Decision-Making in Traditional East Asian Medicine through Dimensionality Reduction: An Empirical Investigation—0
BuildingView: Constructing Urban Building Exteriors Databases with Street View Imagery and Multimodal Large Language ModeCode1
Designing Domain-Specific Large Language Models: The Critical Role of Fine-Tuning in Public Opinion Simulation—0
Bridging the Gap in Hybrid Decision-Making Systems—0
Calibrated Probabilistic Forecasts for Arbitrary Sequences—0
Robo-CSK-Organizer: Commonsense Knowledge to Organize Detected Objects for Multipurpose Robots—0
BoT-Drive: Hierarchical Behavior and Trajectory Planning for Autonomous Driving using POMDPs—0
The Craft of Selective Prediction: Towards Reliable Case Outcome Classification -- An Empirical Study on European Court of Human Rights Cases—0
Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases—0
Open-Nav: Exploring Zero-Shot Vision-and-Language Navigation in Continuous Environment with Open-Source LLMs—0
Unsupervised Cognition—0
Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in CopenhagenCode0
Heuristics and Biases in AI Decision-Making: Implications for Responsible AGI—0
Spatial Visibility and Temporal Dynamics: Revolutionizing Field of View Prediction in Adaptive Point Cloud Video Streaming—0
Good Data Is All Imitation Learning Needs—0
HARMONIC: A Framework for Explanatory Cognitive Robots—0
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel—0
GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient DescentCode0
Remaining Useful Life Prediction for Batteries Utilizing an Explainable AI Approach with a Predictive Application for Decision-Making—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified