SOTAVerified

Decision Making

Papers

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Showing 6551–6600 of 12311 papers

TitleStatusHype
Anticipating the Unseen Discrepancy for Vision and Language Navigation—0
Clustering-based Imputation for Dropout Buyers in Large-scale Online Experimentation—0
Estimating Multi-label Accuracy using Labelset Distributions—0
Modelling Patient Trajectories Using Multimodal InformationCode0
Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes—0
Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual ExplanationsCode1
Sequential Information Design: Learning to Persuade in the Dark—0
Valuing Players Over Time—0
The Utility of Explainable AI in Ad Hoc Human-Machine TeamingCode0
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey—0
Exploring the Distribution Regularities of User Attention and Sentiment toward Product Aspects in Online Reviews—0
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning—0
Deep Learning-Based Automatic Diagnosis System for Developmental Dysplasia of the Hip—0
Responsibility: An Example-based Explainable AI approach via Training Process Inspection—0
Risk of Bias in Chest Radiography Deep Learning Foundation ModelsCode1
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks—0
Multi-class Classifier based Failure Prediction with Artificial and Anonymous Training for Data Privacy—0
Unifying Generative Models with GFlowNets and Beyond—0
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault DiagnosisCode1
Robust Causal Learning for the Estimation of Average Treatment Effects—0
A New Approach to Training Multiple Cooperative Agents for Autonomous Driving—0
Learning from a Biased SampleCode0
Online Decision Making for Trading Wind Energy—0
Cooperative Predictive Cruise Control: A Bargaining Game Approach—0
Prediction Based Decision Making for Autonomous Highway Driving—0
Generating detailed saliency maps using model-agnostic methods—0
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive LearningCode0
Learning Differential Operators for Interpretable Time Series Modeling—0
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning—0
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations—0
Macroeconomic Predictions using Payments Data and Machine Learning—0
A taxonomy of surprise definitions—0
MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization—0
Nonlinear desirability theory—0
Federated Online Clustering of BanditsCode0
Improving Operational Efficiency In EV Ridepooling Fleets By Predictive Exploitation of Idle Times—0
Digital Twin Assisted Risk-Aware Sleep Mode Management Using Deep Q-Networks—0
RAGUEL: Recourse-Aware Group Unfairness Elimination—0
Towards Explaining Demographic Bias through the Eyes of Face Recognition ModelsCode0
Artificial intelligence-based locoregional markers of brain peritumoral microenvironment—0
Explainability of Deep Learning models for Urban Space perceptionCode1
Distributed Cooperative Control and Optimization of Connected Automated Vehicles Platoon Against Cut-in Behaviors of Social Drivers—0
Unified Bayesian Frameworks for Multi-criteria Decision-making Problems—0
JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents—0
A scalable pipeline for COVID-19: the case study of Germany, Czechia and Poland—0
Play with Emotion: Affect-Driven Reinforcement Learning—0
LUCID: Exposing Algorithmic Bias through Inverse DesignCode0
Importance Prioritized Policy DistillationCode0
Evaluating Conversational Recommender Systems: A Landscape of Research—0
Eating Smart: Free-ranging dogs follow an optimal foraging strategy while scavenging in groups—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified