SOTAVerified

Decision Making

Papers

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Showing 1401–1450 of 12311 papers

TitleStatusHype
Ontology-Based Structuring and Analysis of North Macedonian Public Procurement Contracts—0
Beyond the Known: Decision Making with Counterfactual Reasoning Decision TransformerCode0
Counterfactual Strategies for Markov Decision Processes—0
PreCare: Designing AI Assistants for Advance Care Planning (ACP) to Enhance Personal Value Exploration, Patient Knowledge, and Decisional Confidence—0
Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object ShapesCode0
Towards Automated Situation Awareness: A RAG-Based Framework for Peacebuilding Reports—0
To Stay or to Bypass: Unraveling Mainline Vehicles' Aggregate Strategic Decision-Making at Highway Weaving Ramps—0
Explaining Autonomous Vehicles with Intention-aware Policy Graphs—0
A Study of Data-driven Methods for Inventory Optimization—0
A Social Robot with Inner Speech for Dietary GuidanceCode0
DSADF: Thinking Fast and Slow for Decision Making—0
A Practical Introduction to Deep Reinforcement Learning—0
Deep reinforcement learning-based longitudinal control strategy for automated vehicles at signalised intersections—0
An Identifiable Cost-Aware Causal Decision-Making Framework Using Counterfactual Reasoning—0
Bias or Optimality? Disentangling Bayesian Inference and Learning Biases in Human Decision-Making—0
JobHop: A Large-Scale Dataset of Career Trajectories—0
Laypeople's Attitudes Towards Fair, Affirmative, and Discriminatory Decision-Making Algorithms—0
Security of Internet of Agents: Attacks and Countermeasures—0
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review—0
Fréchet Power-Scenario Distance: A Metric for Evaluating Generative AI Models across Multiple Time-Scales in Smart Grids—0
Learning Value of Information towards Joint Communication and Control in 6G V2X—0
Realistic Counterfactual Explanations for Machine Learning-Controlled Mobile Robots using 2D LiDAR—0
Temporal Interception and Present Reconstruction: A Cognitive-Signal Model for Human and AI Decision Making—0
LLM-Augmented Chemical Synthesis and Design Decision Programs—0
Utility Maximization Under Endogenous Uncertainty—0
Unlocking Non-Block-Structured Decisions: Inductive Mining with Choice Graphs—0
CheXLearner: Text-Guided Fine-Grained Representation Learning for Progression Detection—0
Embodied Intelligence: The Key to Unblocking Generalized Artificial Intelligence—0
Constrained Online Decision-Making: A Unified Framework—0
Quantum Conflict Measurement in Decision Making for Out-of-Distribution Detection—0
Boltzmann Classifier: A Thermodynamic-Inspired Approach to Supervised Learning—0
A Survey on Data-Driven Modeling of Human Drivers' Lane-Changing Decisions—0
Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations—0
A Point-Based Algorithm for Distributional Reinforcement Learning in Partially Observable Domains—0
Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers—0
Let Humanoids Hike! Integrative Skill Development on Complex Trails—0
Short-circuiting Shortcuts: Mechanistic Investigation of Shortcuts in Text ClassificationCode0
Interaction-Aware Parameter Privacy-Preserving Data Sharing in Coupled Systems via Particle Filter Reinforcement Learning—0
Differentiable Fuzzy Neural Networks for Recommender SystemsCode0
Predicting Diabetic Macular Edema Treatment Responses Using OCT: Dataset and Methods of APTOS Competition—0
Active Perception for Tactile Sensing: A Task-Agnostic Attention-Based Approach—0
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature SelectionCode0
Hybrid Personalization Using Declarative and Procedural Memory Modules of the Cognitive Architecture ACT-R—0
Trading Under Uncertainty: A Distribution-Based Strategy for Futures Markets Using FutureQuant Transformer—0
Responsibility Gap in Collective Decision Making—0
Taming OOD Actions for Offline Reinforcement Learning: An Advantage-Based Approach—0
Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality—0
X-Driver: Explainable Autonomous Driving with Vision-Language Models—0
Dukawalla: Voice Interfaces for Small Businesses in Africa—0
Anticipating Gaming to Incentivize Improvement: Guiding Agents in (Fair) Strategic Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified