SOTAVerified

Decision Making

Papers

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Showing 7101–7150 of 12311 papers

TitleStatusHype
Probability of Error Analysis for NOMA Systems in Rayleigh Fading Channels: Enabling IoT in Civil Engineering—0
Probability Reversal and the Disjunction Effect in Reasoning Systems—0
Probability Tools for Sequential Random Projection—0
Probably Approximately Correct Explanations of Machine Learning Models via Syntax-Guided Synthesis—0
Probably Approximately Correct Greedy Maximization with Efficient Bounds on Information Gain for Sensor Selection—0
Probe-Based Interventions for Modifying Agent Behavior—0
Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval—0
Problem-fluent models for complex decision-making in autonomous materials research—0
Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning—0
Proceedings of the Workshop on Data Mining for Oil and Gas—0
ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence—0
Process, Structure, and Modularity in Reasoning with Uncertainty—0
Producing radiologist-quality reports for interpretable artificial intelligence—0
Product Information Browsing Support System Using Analytic Hierarchy Process—0
Product traits, decision-makers, and household low-carbon technology adoptions: moving beyond single empirical studies—0
Prognostic Power of Texture Based Morphological Operations in a Radiomics Study for Lung Cancer—0
Prognostics of Surgical Site Infections using Dynamic Health Data—0
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems—0
Progressive Explanation Generation for Human-robot Teaming—0
Progressively Efficient Learning—0
Projection based Active Gaussian Process Regression for Pareto Front Modeling—0
Projections of Economic Impacts of Climate Change on Marine Protected Areas: Palau, the Great Barrier Reef, and the Bering Sea—0
Project MPG: towards a generalized performance benchmark for LLM capabilities—0
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging—0
Promises and Challenges of Causality for Ethical Machine Learning—0
Prompt and Prejudice—0
Prompting Large Language Models for Supporting the Differential Diagnosis of Anemia—0
Prompting Wireless Networks: Reinforced In-Context Learning for Power Control—0
Proofs for the New Definitions in Financial Markets—0
Proportional Aggregation of Preferences for Sequential Decision Making—0
Proportionality in Thumbs Up and Down Voting—0
Proposing an Interactive Audit Pipeline for Visual Privacy Research—0
Proposing a two-step Decision Support System (TPIS) based on Stacked ensemble classifier for early and low cost (step-1) and final (step-2) differential diagnosis of Mycobacterium Tuberculosis from non-tuberculosis Pneumonia—0
Proposing Dynamic Model of Functional Interactions of IoT Technological Innovation System by Using System Dynamics and Fuzzy DEMATEL—0
Proposition of a Theoretical Model for Missing Data Imputation using Deep Learning and Evolutionary Algorithms—0
Prosocial Norm Emergence in Multiagent Systems—0
Prospective Learning: Principled Extrapolation to the Future—0
Prospective Side Information for Latent MDPs—0
Prosumer Behavior: Decision Making with Bounded Horizon—0
Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions—0
Protecting Privacy through Distributed Computation in Multi-agent Decision Making—0
Protection or Peril of Following the Crowd in a Pandemic-Concurrent Flood Evacuation—0
ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges—0
Prototype-Based Interpretability for Legal Citation Prediction—0
Prototyping three key properties of specific curiosity in computational reinforcement learning—0
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes—0
Provable Benefits of Policy Learning from Human Preferences in Contextual Bandit Problems—0
Provable Fairness for Neural Network Models using Formal Verification—0
Provable Reinforcement Learning with a Short-Term Memory—0
PROVABLY BENEFITS OF DEEP HIERARCHICAL RL—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified