SOTAVerified

Decision Making

Papers

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Showing 6451–6500 of 12311 papers

TitleStatusHype
Toward Efficient Transportation Electrification of Heavy-Duty Trucks: Joint Scheduling of Truck Routing and Charging—0
Detecting Histologic & Clinical Glioblastoma Patterns of Prognostic Relevance—0
A Deep Behavior Path Matching Network for Click-Through Rate Prediction—0
Digital Twin Applications in Urban Logistics: An Overview—0
Learning Universal Policies via Text-Guided Video Generation—0
Redesigning Electronic Health Record Systems to Support Developing Countries—0
Learning in POMDPs is Sample-Efficient with Hindsight Observability—0
Towards interpretable quantum machine learning via single-photon quantum walks—0
Future of Supply Chain: Challenges, Trends, and Prospects—0
Hierarchical Imitation Learning with Vector Quantized ModelsCode0
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule PropagationCode0
Structure Learning and Parameter Estimation for Graphical Models via Penalized Maximum Likelihood Methods—0
Smooth Non-Stationary Bandits—0
Stochastic Wasserstein Gradient Flows using Streaming Data with an Application in Predictive Maintenance—0
Decision-Making Context Interaction Network for Click-Through Rate Prediction—0
A Mental Model Based Theory of Trust—0
Fair Decision-making Under Uncertainty—0
Quality Indicators for Preference-based Evolutionary Multi-objective Optimization Using a Reference Point: A Review and AnalysisCode0
The impact of surplus sharing on the outcomes of specific investments under negotiated transfer pricing: An agent-based simulation with fuzzy Q-learning agents—0
Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation—0
Single-Trajectory Distributionally Robust Reinforcement Learning—0
Matching of Everyday Power Supply and Demand with Dynamic Pricing: Problem Formalisation and Conceptual Analysis—0
A Deep Learning Method for Comparing Bayesian Hierarchical ModelsCode0
On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures—0
Planning Automated Driving with Accident Experience Referencing and Common-sense Inferencing—0
Privacy-Preserving Joint Edge Association and Power Optimization for the Internet of Vehicles via Federated Multi-Agent Reinforcement Learning—0
Time-sensitive Learning for Heterogeneous Federated Edge Intelligence—0
Cross-lingual Argument Mining in the Medical DomainCode0
Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI SystemsCode0
BRAIN L: A book recommender system—0
Human-machine Hierarchical Networks for Decision Making under Byzantine Attacks—0
Optimal decision making in robotic assembly and other trial-and-error tasksCode0
Educational Game on Cryptocurrency Investment: Using Microeconomic Decision Making to Understand Macroeconomics Principles—0
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation—0
Off-Policy Evaluation for Action-Dependent Non-Stationary EnvironmentsCode0
Explainable Deep Reinforcement Learning: State of the Art and Challenges—0
Investigating Labeler Bias in Face Annotation for Machine Learning—0
Self-Supervised Learning for Enhancing Angular Resolution in Automotive MIMO Radars—0
SMART: Self-supervised Multi-task pretrAining with contRol Transformers—0
Model Based Reinforcement Learning with Non-Gaussian Environment Dynamics and its Application to Portfolio Optimization—0
A Framework for Evaluating the Impact of Food Security Scenarios—0
Developing Hybrid Machine Learning Models to Assign Health Score to Railcar Fleets for Optimal Decision Making—0
ExClaim: Explainable Neural Claim Verification Using RationalizationCode0
Tier Balancing: Towards Dynamic Fairness over Underlying Causal FactorsCode0
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision MakingCode0
Within-group fairness: A guidance for more sound between-group fairness—0
Causal Inference under Data Restrictions—0
Differential Privacy in Cooperative Multiagent PlanningCode0
Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement LearningCode0
GBOSE: Generalized Bandit Orthogonalized Semiparametric Estimation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified