SOTAVerified

Decision Making

Papers

Showing 351375 of 12311 papers

TitleStatusHype
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value FunctionsCode1
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at ScaleCode1
Deep learning with self-supervision and uncertainty regularization to count fish in underwater imagesCode1
Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and AccuracyCode1
Decision Trees for Decision-Making under the Predict-then-Optimize FrameworkCode1
Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions ModelingCode1
Deep Reinforcement Learning for Entity AlignmentCode1
RL-I2IT: Image-to-Image Translation with Deep Reinforcement LearningCode1
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian OptimisationCode1
A Probabilistic U-Net for Segmentation of Ambiguous ImagesCode1
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven OptimizationCode1
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
AdaptiveStep: Automatically Dividing Reasoning Step through Model ConfidenceCode1
A Recurrent Vision-and-Language BERT for NavigationCode1
Are Human-generated Demonstrations Necessary for In-context Learning?Code1
Developing Optimal Causal Cyber-Defence Agents via Cyber Security SimulationCode1
Deep Bayesian InversionCode1
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future OpportunitiesCode1
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort studyCode1
DiffAIL: Diffusion Adversarial Imitation LearningCode1
Argumentative Large Language Models for Explainable and Contestable Claim VerificationCode1
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing DataCode1
Decision-Making with Auto-Encoding Variational BayesCode1
Data-Driven Sample Average Approximation with Covariate InformationCode1
6GAN: IPv6 Multi-Pattern Target Generation via Generative Adversarial Nets with Reinforcement LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified