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Decision Making

Papers

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Showing 9001–9050 of 12311 papers

TitleStatusHype
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model—0
How Reliable AI Chatbots are for Disease Prediction from Patient Complaints?—0
How robots in a large group make decisions as a whole? From biological inspiration to the design of distributed algorithms—0
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics—0
How to be Fair and Diverse?—0
How to Build a Pre-trained Multimodal model for Simultaneously Chatting and Decision-making?—0
How to characterize imprecision in multi-view clustering?—0
How to choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice—0
How to Choose a Reinforcement-Learning Algorithm—0
How to ensure a safe control strategy? Towards a SRL for urban transit autonomous operation—0
How to Measure Human-AI Prediction Accuracy in Explainable AI Systems—0
How To Not Drive: Learning Driving Constraints from Demonstration—0
How to Solve Fair k-Center in Massive Data Models—0
How to Solve Fair k-Center in Massive Data Models—0
How Transit Countries Become Refugee Destinations: Insights from Central and Eastern Europe—0
How unfair is private learning ?—0
How Well Can Vision Language Models See Image Details?—0
HSVI can solve zero-sum Partially Observable Stochastic Games—0
HSVI for zs-POSGs using Concavity, Convexity and Lipschitz Properties—0
H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch—0
Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach—0
HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks—0
Human adaptation to adaptive machines converges to game-theoretic equilibria—0
Human-Agent Decision-making: Combining Theory and Practice—0
Human-AI Collaboration in Cloud Security: Cognitive Hierarchy-Driven Deep Reinforcement Learning—0
Human-AI Collaboration in Decision-Making: Beyond Learning to Defer—0
Human AI interaction loop training: New approach for interactive reinforcement learning—0
Human-AI Learning Performance in Multi-Armed Bandits—0
Human and Machine Intelligence in n-Person Games with Partial Knowledge: Theory and Computation—0
Human-Artificial Interaction in the Age of Agentic AI: A System-Theoretical Approach—0
Human-Aware Robot Navigation via Reinforcement Learning with Hindsight Experience Replay and Curriculum Learning—0
Human Behavioral Models Using Utility Theory and Prospect Theory—0
Human Body Digital Twin: A Master Plan—0
Human-Centered AI Product Prototyping with No-Code AutoML: Conceptual Framework, Potentials and Limitations—0
Human-centered collaborative robots with deep reinforcement learning—0
Human-Centered Evaluation of XAI Methods—0
Human-centered explanation does not fit all: The interplay of sociotechnical, cognitive, and individual factors in the effect AI explanations in algorithmic decision-making—0
Human-centred explanation of rule-based decision-making systems in the legal domain—0
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications—0
Human collective intelligence as distributed Bayesian inference—0
Human Decision-Making under Limited Time—0
Human Driver Behavior Prediction based on UrbanFlow—0
Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge—0
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets—0
Human-In-The-Loop Learning of Qualitative Preference Models—0
Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning—0
Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy—0
Human judgment vs. theoretical models for the management of ecological resources—0
Humanlike Cognitive Patterns as Emergent Phenomena in Large Language Models—0
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified