SOTAVerified

Decision Making

Papers

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Showing 10251–10300 of 12311 papers

TitleStatusHype
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem—0
Decision making under uncertainty in energy systems: state of the art—0
Women, politics and Twitter: Using machine learning to change the discourse—0
Topologically Mapping the Macroeconomy—0
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms—0
Decision Making guided by Emotion A computational architecture—0
An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada—0
mm-Pose: Real-Time Human Skeletal Posture Estimation using mmWave Radars and CNNs—0
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation—0
Model-based optimal AML consolidation treatment—0
Response Transformation and Profit Decomposition for Revenue Uplift Modeling—0
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning—0
Policy-Gradient Training of Fair and Unbiased Ranking FunctionsCode0
Decision Making for Autonomous Driving via Augmented Adversarial Inverse Reinforcement Learning—0
Planning with Goal-Conditioned PoliciesCode0
Leveraging Decentralized Artificial Intelligence to Enhance Resilience of Energy Networks—0
Working Memory Graphs—0
Dynamic Modeling and Equilibria in Fair Decision Making—0
Gamifying the Vehicle Routing Problem with Stochastic Requests—0
Real-time Anomaly Detection and Classification in Streaming PMU Data—0
Long-range Prediction of Vital Signs Using Generative Boosting via LSTM Networks—0
Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling—0
One-shot learning and behavioral eligibility traces in sequential decision making—0
Effects of data ambiguity and cognitive biases on the interpretability of machine learning models in humanitarian decision making—0
Making Good on LSTMs' Unfulfilled Promise—0
Context-aware Active Multi-Step Reinforcement Learning—0
A Biologically Plausible Benchmark for Contextual Bandit Algorithms in Precision Oncology Using in vitro DataCode0
Optimal Experimental Design for Staggered RolloutsCode0
A perspective on multi-agent communication for information fusionCode0
Human Driver Behavior Prediction based on UrbanFlow—0
Adaptivity in Adaptive Submodularity—0
Regularized Deep Networks in Intelligent Transportation Systems: A Taxonomy and a Case Study—0
A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness—0
Beyond Adaptive Submodularity: Adaptive Influence Maximization with Intermediary Constraints—0
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network—0
Sparsity through evolutionary pruning prevents neuronal networks from overfitting—0
Doppler Spectrum Classification with CNNs via Heatmap Location Encoding and a Multi-head Output Layer—0
Attentive Geo-Social Group Recommendation—0
Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity—0
Designing over uncertain outcomes with stochastic sampling Bayesian optimization—0
Blind Network Revenue Management and Bandits with Knapsacks under Limited Switches—0
Reporting on Decision-Making Algorithms and some Related Ethical Questions—0
A Model for Spatial Outlier Detection Based on Weighted Neighborhood Relationship—0
Asymptotic Consistency of Loss-Calibrated Variational Bayes—0
Imitation in the Imitation Game—0
Decision Making under Uncertainty: An Experimental Study in Market Settings—0
Computationally efficient versions of conformal predictive distributions—0
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations—0
Fuzzy Inference Procedure for Intelligent and Automated Control of Refrigerant Charging—0
The Intrinsic Properties of Brain Based on the Network Structure—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified