SOTAVerified

Decision Making

Papers

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Showing 2901–2950 of 12311 papers

TitleStatusHype
Meta-Models: An Architecture for Decoding LLM Behaviors Through Interpreted Embeddings and Natural LanguageCode0
SEAL: SEmantic-Augmented Imitation Learning via Language Model—0
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model—0
Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space—0
Dynamic Portfolio Rebalancing: A Hybrid new Model Using GNNs and Pathfinding for Cost Efficiency—0
Mimicking Human Intuition: Cognitive Belief-Driven Q-Learning—0
DeFine: Enhancing LLM Decision-Making with Factor Profiles and Analogical Reasoning—0
Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction—0
Price-guided user attention in large-scale E-commerce group recommendation—0
Adaptive teachers for amortized samplersCode0
Decision-Focused Uncertainty QuantificationCode0
Distilling Analysis from Generative Models for Investment Decisions—0
A Preventive-Corrective Scheme for Ensuring Power System Security During Active Wildfire Risks—0
Uncertainty-aware Human Mobility Modeling and Anomaly Detection—0
A Federated Learning Platform as a Service for Advancing Stroke Management in European Clinical Centers—0
AVID: Adapting Video Diffusion Models to World Models—0
ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directions—0
A transformer-based deep reinforcement learning approach to spatial navigation in a partially observable Morris Water Maze—0
Learning Adaptive Hydrodynamic Models Using Neural ODEs in Complex Conditions—0
Hierarchical Organization Simulacra in the Investment Sector—0
Easydiagnos: a framework for accurate feature selection for automatic diagnosis in smart healthcare—0
Best Practices for Responsible Machine Learning in Credit ScoringCode0
FlyAI -- The Next Level of Artificial Intelligence is Unpredictable! Injecting Responses of a Living Fly into 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
Mitigating optimistic bias in entropic risk estimation and optimization with an application to insurance—0
Conformal Prediction for Dose-Response Models with Continuous TreatmentsCode0
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
Online Decision Deferral under Budget ConstraintsCode0
Interpretable Rule-Based System for Radar-Based Gesture Sensing: Enhancing Transparency and Personalization in AI—0
Inferring Preferences from Demonstrations in Multi-objective Reinforcement LearningCode0
Customized Information and Domain-centric Knowledge Graph Construction with Large Language Models—0
Sufficient and Necessary Explanations (and What Lies in Between)—0
Leveraging CAM Algorithms for Explaining Medical Semantic SegmentationCode0
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
American Call Options Pricing With Modular Neural Networks—0
Understanding Clinical Decision-Making in Traditional East Asian Medicine through Dimensionality Reduction: An Empirical Investigation—0
DataDRILL: Formation Pressure Prediction and Kick Detection for Drilling Rigs—0
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
Open-Nav: Exploring Zero-Shot Vision-and-Language Navigation in Continuous Environment with Open-Source LLMs—0
Unsupervised Cognition—0
Robo-CSK-Organizer: Commonsense Knowledge to Organize Detected Objects for Multipurpose Robots—0
Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases—0
Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in CopenhagenCode0
Calibrated Probabilistic Forecasts for Arbitrary Sequences—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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified