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Decision Making

Papers

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Showing 8851–8900 of 12311 papers

TitleStatusHype
The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication—0
The Duality of Data and Knowledge Across the Three Waves of AI—0
Asymptotic Security by Model-based Incident Handlers for Markov Decision Processes—0
Goal Seeking Quadratic Unconstrained Binary Optimization—0
Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks—0
Actionable Cognitive Twins for Decision Making in Manufacturing—0
A High-order Tuner for Accelerated Learning and Control—0
Assured Learning-enabled Autonomy: A Metacognitive Reinforcement Learning Framework—0
The Current Chinese Global Supply Chain Monopoly and the Covid-19 Pandemic—0
Use of mathematical modelling to assess respiratory syncytial virus epidemiology and interventions: A literature review—0
Mental Health and Abortions among Young Women: Time-varying Unobserved Heterogeneity, Health Behaviors, and Risky DecisionsCode0
Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy—0
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals—0
Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature—0
Branching out into Structural Identifiability Analysis with Maple: Interactive Exploration of Uncontrolled Linear Time-Invariant Structures—0
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation—0
ProgressiveSpinalNet architecture for FC layersCode0
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge—0
Online Convex Optimization with Continuous Switching Constraint—0
Unsupervised and self-adaptative techniques for cross-domain person re-identificationCode0
Spatio-Temporal Data Mining for Aviation Delay Prediction—0
Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP—0
On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems—0
Learning to Schedule Heuristics in Branch-and-BoundCode0
SPOT: A framework for selection of prototypes using optimal transport—0
Formation Control for Connected and Automated Vehicles on Multi-lane Roads: Relative Motion Planning and Conflict ResolutionCode0
Robust and Guided Bayesian Reconstruction of Single-Photon 3D Lidar Data: Application to Multispectral and Underwater Imaging—0
Situated Language Learning via Interactive Narratives—0
WheatNet: A Lightweight Convolutional Neural Network for High-throughput Image-based Wheat Head Detection and Counting—0
Encrypted Linear Contextual Bandit—0
A Practical Guide to Multi-Objective Reinforcement Learning and PlanningCode0
Algorithmic Challenges in Ensuring Fairness at the Time of Decision—0
Crossing the Tepper Line: An Emerging Ontology for Describing the Dynamic Sociality of Embodied AI—0
Improving Generalization of Transfer Learning Across Domains Using Spatio-Temporal Features in Autonomous Driving—0
Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts—0
A new interpretable unsupervised anomaly detection method based on residual explanation—0
Decision Making of Connected Automated Vehicles at An Unsignalized Roundabout Considering Personalized Driving Behaviours—0
DeepGroup: Representation Learning for Group Recommendation with Implicit FeedbackCode0
Problem-fluent models for complex decision-making in autonomous materials research—0
Quantum propensity in economics—0
A review of machine learning in processing remote sensing data for mineral exploration—0
Learning Optimal Decision Making for an Industrial Truck Unloading Robot using Minimal Simulator Runs—0
Meta-Learning for Planning: Automatic Synthesis of Sample Based Planners—0
RL-Controller: a reinforcement learning framework for active structural control—0
Optimal sequential decision making with probabilistic digital twins—0
Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks—0
Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression—0
An Image-based Approach of Task-driven Driving Scene Categorization—0
Volumetric Quantitative Ablation Margins for Assessment of Ablation Completeness in Thermal Ablation of Liver TumorsCode0
Semantic Communications in Networked Systems: A Data Significance Perspective—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified