SOTAVerified

Decision Making

Papers

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Showing 8251–8300 of 12311 papers

TitleStatusHype
The f-Divergence Reinforcement Learning Framework—0
Feasibility study of urban flood mapping using traffic signs for route optimization—0
Optimal Decision Making in High-Throughput Virtual Screening Pipelines—0
Breaking BERT: Understanding its Vulnerabilities for Named Entity Recognition through Adversarial AttackCode0
Active Learning for Argument Strength EstimationCode0
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning—0
Fully probabilistic design for knowledge fusion between Bayesian filters under uniform disturbances—0
Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations—0
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning—0
On Optimal Robustness to Adversarial Corruption in Online Decision Problems—0
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment—0
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making—0
Vaccine allocation policy optimization and budget sharing mechanism using Thompson samplingCode0
Off-line approximate dynamic programming for the vehicle routing problem with a highly variable customer basis and stochastic demands—0
Early and Revocable Time Series Classification—0
Learning offline: memory replay in biological and artificial reinforcement learning—0
A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning—0
POI Alias Discovery in Delivery Addresses using User Locations—0
Algorithmic Fairness Verification with Graphical ModelsCode0
Assisted Learning for Organizations with Limited Imbalanced Data—0
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time—0
Optimal Team Economic Decisions in Counter-Strike—0
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision—0
Learning to be Fair: A Consequentialist Approach to Equitable Decision-MakingCode0
Fairness Maximization among Offline Agents in Online-Matching Markets—0
Data-Driven Off-Policy Estimator Selection: An Application in User Marketing on An Online Content Delivery Service—0
Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping—0
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation—0
Load Balancing in Compute Clusters with Delayed FeedbackCode0
Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLU—0
Reinforcement Learning Policies in Continuous-Time Linear Systems—0
Policy Choice and Best Arm Identification: Asymptotic Analysis of Exploration Sampling—0
An Ontology-Based Information Extraction System for Residential Land Use Suitability Analysis—0
Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition—0
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images—0
Modeling the effects of environmental and perceptual uncertainty using deterministic reinforcement learning dynamics with partial observabilityCode0
Image Deraining and Denoising Convolutional Neural Network ForAutonomous Driving—0
Text as Causal Mediators: Research Design for Causal Estimates of Differential Treatment of Social Groups via Language Aspects—0
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs—0
WaveCorr: Correlation-savvy Deep Reinforcement Learning for Portfolio ManagementCode0
What are the attackers doing now? Automating cyber threat intelligence extraction from text on pace with the changing threat landscape: A survey—0
COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification—0
Deceptive Decision-Making Under Uncertainty—0
Agile, Antifragile, Artificial-Intelligence-Enabled, Command and Control—0
Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions—0
Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents—0
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach—0
Augmenting Decision Making via Interactive What-If Analysis—0
Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making—0
Learning-to-defer for sequential medical decision-making under uncertainty—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified