SOTAVerified

Decision Making

Papers

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Showing 3651–3675 of 12311 papers

TitleStatusHype
Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantification—0
Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trustCode0
Optimistic Thompson Sampling for No-Regret Learning in Unknown Games—0
Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain—0
Safe Human-UAS Collaboration Abstraction—0
Sym-Q: Adaptive Symbolic Regression via Sequential Decision-MakingCode1
Adaptive Hypergraph Network for Trust PredictionCode0
FlowPG: Action-constrained Policy Gradient with Normalizing FlowsCode0
Faithfulness vs. Plausibility: On the (Un)Reliability of Explanations from Large Language Models—0
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment EffectsCode1
Streamlined Hybrid Annotation Framework using Scalable Codestream for Bandwidth-Restricted UAV Object Detection—0
OIL-AD: An Anomaly Detection Framework for Sequential Decision SequencesCode0
Collaborative Computing in Non-Terrestrial Networks: A Multi-Time-Scale Deep Reinforcement Learning Approach—0
FaithLM: Towards Faithful Explanations for Large Language Models—0
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy—0
Human-Centered AI Product Prototyping with No-Code AutoML: Conceptual Framework, Potentials and Limitations—0
Pedestrian crossing decisions can be explained by bounded optimal decision-making under noisy visual perception—0
Enhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons—0
Monthly GDP nowcasting with Machine Learning and Unstructured Data—0
Counterfactual Generation with Answer Set Programming—0
Collaborative Deep Reinforcement Learning for Resource Optimization in Non-Terrestrial Networks—0
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based PoliciesCode2
Explainable Automated Machine Learning for Credit Decisions: Enhancing Human Artificial Intelligence Collaboration in Financial Engineering—0
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning AgentsCode0
Learning Metrics that Maximise Power for Accelerated A/B-TestsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified