SOTAVerified

Decision Making

Papers

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Showing 6701–6750 of 12311 papers

TitleStatusHype
Joint Perception and Control as Inference with an Object-based Implementation—0
Optimizing Oil and Gas Acquisitions Using Recommender Systems—0
Optimizing Portfolio Performance through Clustering and Sharpe Ratio-Based Optimization: A Comparative Backtesting Approach—0
Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent—0
Generative Conformal Prediction with Vectorized Non-Conformity Scores—0
Optimizing Sensor Redundancy in Sequential Decision-Making Problems—0
Optimizing sequential decisions in the drift-diffusion model—0
Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic Search in POMDPs—0
Optimizing Sharpe Ratio: Risk-Adjusted Decision-Making in Multi-Armed Bandits—0
Optimizing Stock Option Forecasting with the Assembly of Machine Learning Models and Improved Trading Strategies—0
Optimizing Vehicular Networks with Variational Quantum Circuits-based Reinforcement Learning—0
Optimizing Warfarin Dosing Using Contextual Bandit: An Offline Policy Learning and Evaluation Method—0
Option Discovery Using LLM-guided Semantic Hierarchical Reinforcement Learning—0
Option to survive or surrender: carbon asset management and optimization in thermal power enterprises from China—0
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World—0
Oracle-Efficient Smoothed Online Learning for Piecewise Continuous Decision Making—0
Oral-Motor and Lexical Diversity During Naturalistic Conversations in Adults with Autism Spectrum Disorder—0
ORAssistant: A Custom RAG-based Conversational Assistant for OpenROAD—0
Order Effects for Queries in Intelligent Systems—0
Order Matters: Generating Progressive Explanations for Planning Tasks in Human-Robot Teaming—0
Order-theoretic models for decision-making: Learning, optimization, complexity and computation—0
ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems\—0
OSL-ActionSpotting: A Unified Library for Action Spotting in Sports Videos—0
Outlier Explanation via Sum-Product Networks—0
Test-Time Fairness and Robustness in Large Language Models—0
Outside the Echo Chamber: Optimizing the Performative Risk—0
Over a Decade of Social Opinion Mining: A Systematic Review—0
Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support—0
Overcoming Data Sparsity in Group Recommendation—0
Overcoming Temptation: Incentive Design For Intertemporal Choice—0
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence—0
Over-representation of Extreme Events in Decision-Making: A Rational Metacognitive Account—0
Overview of Class Activation Maps for Visualization Explainability—0
Overview of the ALTA 2012 Shared Task—0
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes—0
OWA aggregation of multi-criteria with mixed uncertain fuzzy satisfactions—0
Oxford Handbook on AI Ethics Book Chapter on Race and Gender—0
P3LS: Partial Least Squares under Privacy Preservation—0
PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation—0
PA-Cache: Evolving Learning-Based Popularity-Aware Content Caching in Edge Networks—0
PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison—0
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis—0
PAC Learnability of Scenario Decision-Making Algorithms: Necessary and Sufficient Conditions—0
PA-CLIP: Enhancing Zero-Shot Anomaly Detection through Pseudo-Anomaly Awareness—0
A Joint Planning and Learning Framework for Human-Aided Decision-Making—0
Pacos: Modeling Users' Interpretable and Context-Dependent Choices in Preference Reversals—0
PAC Reinforcement Learning with Rich Observations—0
PAHD: Perception-Action based Human Decision Making using Explainable Graph Neural Networks on SAR Images—0
Pain Forecasting using Self-supervised Learning and Patient Phenotyping: An attempt to prevent Opioid Addiction—0
Painting the black box white: experimental findings from applying XAI to an ECG reading setting—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified